{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/optical-flow-estimation/papers/11","list_of":"/task/optical-flow-estimation","task":"Optical Flow Estimation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":11,"pages_in_order":22,"rows_per_page":100,"rows":[1001,1100],"of":2184,"counts":{"archive_papers_tagged":2184,"with_a_code_link":795,"where_syntology_ran_a_sample":186,"not_listed_spam_title":0,"listed":2184,"listed_where_code_ran":186,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":156,"every_run_a_failure_of_syntologys_instrument":30,"listed_with_a_run_with_no_instrument_failure":156,"listed_every_run_a_failure_of_syntologys_instrument":30,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/optical-flow-estimation","prev":"/task/optical-flow-estimation/papers/10","next":"/task/optical-flow-estimation/papers/12","papers":[{"url":null,"slug":"weakly-supervised-alignment-and-registration","title":"Weakly supervised alignment and registration of MR-CT for cervical cancer radiotherapy","date":"2024-05-21","arxiv_id":"2405.12850","repositories_listed":0,"syntology":null},{"url":null,"slug":"dance-any-beat-blending-beats-with-visuals-in","title":"Dance Any Beat: Blending Beats with Visuals in Dance Video Generation","date":"2024-05-15","arxiv_id":"2405.09266","repositories_listed":0,"syntology":null},{"url":null,"slug":"vector-symbolic-architecture-for-event-based","title":"Vector-Symbolic Architecture for Event-Based Optical Flow","date":"2024-05-14","arxiv_id":"2405.08300","repositories_listed":0,"syntology":null},{"url":null,"slug":"devos-flow-guided-deformable-transformer-for","title":"DeVOS: Flow-Guided Deformable Transformer for Video Object Segmentation","date":"2024-05-11","arxiv_id":"2405.08715","repositories_listed":0,"syntology":null},{"url":null,"slug":"global-motion-understanding-in-large-scale","title":"Global Motion Understanding in Large-Scale Video Object Segmentation","date":"2024-05-11","arxiv_id":"2405.07031","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-backbones-for-deep-video-action","title":"A Survey on Backbones for Deep Video Action Recognition","date":"2024-05-09","arxiv_id":"2405.05584","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffeomorphic-template-registration-for","title":"Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation","date":"2024-05-06","arxiv_id":"2405.03662","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantically-consistent-video-inpainting-with","title":"Semantically Consistent Video Inpainting with Conditional Diffusion Models","date":"2024-04-30","arxiv_id":"2405.00251","repositories_listed":0,"syntology":null},{"url":null,"slug":"n-dba-neural-implicit-dense-bundle-adjustment","title":"$ν$-DBA: Neural Implicit Dense Bundle Adjustment Enables Image-Only Driving Scene Reconstruction","date":"2024-04-29","arxiv_id":"2404.18439","repositories_listed":0,"syntology":null},{"url":null,"slug":"event-based-video-frame-interpolation-with-1","title":"Event-based Video Frame Interpolation with Edge Guided Motion Refinement","date":"2024-04-28","arxiv_id":"2404.18156","repositories_listed":0,"syntology":null},{"url":null,"slug":"turb-seg-res-a-segment-then-restore-pipeline","title":"Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence","date":"2024-04-21","arxiv_id":"2404.13605","repositories_listed":0,"syntology":null},{"url":null,"slug":"foundation-model-assisted-weakly-supervised-1","title":"Weakly Supervised LiDAR Semantic Segmentation via Scatter Image Annotation","date":"2024-04-19","arxiv_id":"2404.12861","repositories_listed":0,"syntology":null},{"url":null,"slug":"tempbev-improving-learned-bev-encoders-with","title":"TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation","date":"2024-04-17","arxiv_id":"2404.11803","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-based-control-for-landing-an-aerial","title":"Vision-based control for landing an aerial vehicle on a marine vessel","date":"2024-04-17","arxiv_id":"2404.11336","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-bracket-image-restoration-and","title":"Improving Bracket Image Restoration and Enhancement with Flow-guided Alignment and Enhanced Feature Aggregation","date":"2024-04-16","arxiv_id":"2404.10358","repositories_listed":0,"syntology":null},{"url":null,"slug":"fsrt-facial-scene-representation-transformer","title":"FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features","date":"2024-04-15","arxiv_id":"2404.09736","repositories_listed":0,"syntology":null},{"url":null,"slug":"table-tennis-ball-spin-estimation-with-an","title":"Table tennis ball spin estimation with an event camera","date":"2024-04-15","arxiv_id":"2404.09870","repositories_listed":0,"syntology":null},{"url":null,"slug":"chaos-in-motion-unveiling-robustness-in","title":"Chaos in Motion: Unveiling Robustness in Remote Heart Rate Measurement through Brain-Inspired Skin Tracking","date":"2024-04-11","arxiv_id":"2404.07687","repositories_listed":0,"syntology":null},{"url":null,"slug":"sciflow-empowering-lightweight-optical-flow","title":"SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations","date":"2024-04-11","arxiv_id":"2404.08135","repositories_listed":0,"syntology":null},{"url":null,"slug":"memflow-optical-flow-estimation-and","title":"MemFlow: Optical Flow Estimation and Prediction with Memory","date":"2024-04-07","arxiv_id":"2404.04808","repositories_listed":0,"syntology":null},{"url":null,"slug":"salient-sparse-visual-odometry-with-pose-only","title":"Salient Sparse Visual Odometry With Pose-Only Supervision","date":"2024-04-06","arxiv_id":"2404.04677","repositories_listed":0,"syntology":null},{"url":null,"slug":"losa-long-short-range-adapter-for-scaling-end","title":"LoSA: Long-Short-range Adapter for Scaling End-to-End Temporal Action Localization","date":"2024-04-01","arxiv_id":"2404.01282","repositories_listed":0,"syntology":null},{"url":null,"slug":"flowdepth-decoupling-optical-flow-for-self","title":"FlowDepth: Decoupling Optical Flow for Self-Supervised Monocular Depth Estimation","date":"2024-03-28","arxiv_id":"2403.19294","repositories_listed":0,"syntology":null},{"url":null,"slug":"mathrm-f-2depth-self-supervised-indoor","title":"$\\mathrm{F^2Depth}$: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis","date":"2024-03-27","arxiv_id":"2403.18443","repositories_listed":0,"syntology":null},{"url":null,"slug":"ocai-improving-optical-flow-estimation-by","title":"OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation","date":"2024-03-26","arxiv_id":"2403.18092","repositories_listed":0,"syntology":null},{"url":null,"slug":"emotion-recognition-from-the-perspective-of","title":"Emotion Recognition from the perspective of Activity Recognition","date":"2024-03-24","arxiv_id":"2403.16263","repositories_listed":0,"syntology":null},{"url":null,"slug":"ds-nerv-implicit-neural-video-representation","title":"DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes","date":"2024-03-23","arxiv_id":"2403.15679","repositories_listed":0,"syntology":null},{"url":null,"slug":"cathflow-self-supervised-segmentation-of","title":"CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers","date":"2024-03-21","arxiv_id":"2403.14465","repositories_listed":0,"syntology":null},{"url":null,"slug":"s2dm-sector-shaped-diffusion-models-for-video","title":"S2DM: Sector-Shaped Diffusion Models for Video Generation","date":"2024-03-20","arxiv_id":"2403.13408","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaussianflow-splatting-gaussian-dynamics-for","title":"GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation","date":"2024-03-19","arxiv_id":"2403.12365","repositories_listed":0,"syntology":null},{"url":null,"slug":"taptr-tracking-any-point-with-transformers-as","title":"TAPTR: Tracking Any Point with Transformers as Detection","date":"2024-03-19","arxiv_id":"2403.13042","repositories_listed":0,"syntology":null},{"url":null,"slug":"genflow-generalizable-recurrent-flow-for-6d","title":"GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects","date":"2024-03-18","arxiv_id":"2403.11510","repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-aware-3d-gaussian-splatting-for","title":"Motion-aware 3D Gaussian Splatting for Efficient Dynamic Scene Reconstruction","date":"2024-03-18","arxiv_id":"2403.11447","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-bandwidth-efficiency-for-video","title":"Enhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction","date":"2024-03-17","arxiv_id":"2403.11337","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-optical-flow-inclusion-into-nnu-net","title":"Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation","date":"2024-03-15","arxiv_id":"2403.10216","repositories_listed":0,"syntology":null},{"url":null,"slug":"intention-driven-ego-to-exo-video-generation","title":"Intention-driven Ego-to-Exo Video Generation","date":"2024-03-14","arxiv_id":"2403.09194","repositories_listed":0,"syntology":null},{"url":null,"slug":"flow-based-visual-stream-compression-for","title":"Flow-Based Visual Stream Compression for Event Cameras","date":"2024-03-12","arxiv_id":"2403.08086","repositories_listed":0,"syntology":null},{"url":null,"slug":"ada-tracker-soft-tissue-tracking-via-inter","title":"Ada-Tracker: Soft Tissue Tracking via Inter-Frame and Adaptive-Template Matching","date":"2024-03-11","arxiv_id":"2403.06479","repositories_listed":0,"syntology":null},{"url":null,"slug":"do3d-self-supervised-learning-of-decomposed","title":"DO3D: Self-supervised Learning of Decomposed Object-aware 3D Motion and Depth from Monocular Videos","date":"2024-03-09","arxiv_id":"2403.05895","repositories_listed":0,"syntology":null},{"url":null,"slug":"out-of-the-room-generalizing-event-based","title":"Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes","date":"2024-03-07","arxiv_id":"2403.04562","repositories_listed":0,"syntology":null},{"url":null,"slug":"hdrflow-real-time-hdr-video-reconstruction","title":"HDRFlow: Real-Time HDR Video Reconstruction with Large Motions","date":"2024-03-06","arxiv_id":"2403.03447","repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-corrected-moving-average-including","title":"Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation","date":"2024-03-05","arxiv_id":"2403.03120","repositories_listed":0,"syntology":null},{"url":null,"slug":"explicit-motion-handling-and-interactive","title":"Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection","date":"2024-03-04","arxiv_id":"2403.01968","repositories_listed":0,"syntology":null},{"url":null,"slug":"trustworthy-self-attention-enabling-the","title":"Trustworthy Self-Attention: Enabling the Network to Focus Only on the Most Relevant References","date":"2024-03-01","arxiv_id":"2403.00211","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-flies-to-robots-inverted-landing-in","title":"From Flies to Robots: Inverted Landing in Small Quadcopters with Dynamic Perching","date":"2024-02-29","arxiv_id":"2403.00128","repositories_listed":0,"syntology":null},{"url":null,"slug":"tde-3-an-improved-prior-for-optical-flow","title":"TDE-3: An improved prior for optical flow computation in spiking neural networks","date":"2024-02-18","arxiv_id":"2402.11662","repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-matchers-for-dense-tracking","title":"Dense Matchers for Dense Tracking","date":"2024-02-17","arxiv_id":"2402.11287","repositories_listed":0,"syntology":null},{"url":"/paper/what-s-in-the-flow-exploiting-temporal-motion-1","slug":"what-s-in-the-flow-exploiting-temporal-motion-1","title":"What's in the Flow? Exploiting Temporal Motion Cues for Unsupervised Generic Event Boundary Detection","date":"2024-02-15","arxiv_id":"2404.18935","repositories_listed":0,"syntology":null},{"url":null,"slug":"moving-object-proposals-with-deep-learned","title":"Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentation","date":"2024-02-14","arxiv_id":"2402.08882","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-flow-based-credibility-metric-for-safety","title":"A Flow-based Credibility Metric for Safety-critical Pedestrian Detection","date":"2024-02-12","arxiv_id":"2402.07642","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-network-for-structural-dense-displacement","title":"A Network for structural dense displacement based on 3D deformable mesh model and optical flow","date":"2024-02-09","arxiv_id":"2402.06329","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-based-deep-learning-for-the-time","title":"Image-based Deep Learning for the time-dependent prediction of fresh concrete properties","date":"2024-02-09","arxiv_id":"2402.06611","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-spatio-temporal-dynamical-systems","title":"Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts","date":"2024-02-06","arxiv_id":"2402.05970","repositories_listed":0,"syntology":null},{"url":null,"slug":"anamodiff-2d-analogical-motion-diffusion-via","title":"AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising","date":"2024-02-05","arxiv_id":"2402.03549","repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-aware-video-frame-interpolation","title":"Motion-Aware Video Frame Interpolation","date":"2024-02-05","arxiv_id":"2402.02892","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-motion-cues-to-supervise-single-frame","title":"Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes","date":"2024-02-05","arxiv_id":"2402.02736","repositories_listed":0,"syntology":null},{"url":null,"slug":"mustan-multi-scale-temporal-context-as","title":"MUSTAN: Multi-scale Temporal Context as Attention for Robust Video Foreground Segmentation","date":"2024-02-01","arxiv_id":"2402.00918","repositories_listed":0,"syntology":null},{"url":null,"slug":"cmrnext-camera-to-lidar-matching-in-the-wild","title":"CMRNext: Camera to LiDAR Matching in the Wild for Localization and Extrinsic Calibration","date":"2024-01-31","arxiv_id":"2402.00129","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-common-appearance-boundary","title":"Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow","date":"2024-01-31","arxiv_id":"2401.17642","repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-guidance-diffusion-based-image-editing","title":"Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators","date":"2024-01-31","arxiv_id":"2401.18085","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-3d-world-models-for-multi-image-super","title":"Deep 3D World Models for Multi-Image Super-Resolution Beyond Optical Flow","date":"2024-01-30","arxiv_id":"2401.16972","repositories_listed":0,"syntology":null},{"url":null,"slug":"signvtcl-multi-modal-continuous-sign-language","title":"SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning","date":"2024-01-22","arxiv_id":"2401.11847","repositories_listed":0,"syntology":null},{"url":null,"slug":"helmholtz-decomposition-and-optical-flow-a","title":"Helmholtz-Decomposition and Optical Flow: A new method to characterize GCamP recordings","date":"2024-01-19","arxiv_id":"2401.11008","repositories_listed":0,"syntology":null},{"url":null,"slug":"key-point-guided-deformable-image","title":"Key-point Guided Deformable Image Manipulation Using Diffusion Model","date":"2024-01-16","arxiv_id":"2401.08178","repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-optical-flow-estimation-using-sparse","title":"Dense Optical Flow Estimation Using Sparse Regularizers from Reduced Measurements","date":"2024-01-12","arxiv_id":"2401.06396","repositories_listed":0,"syntology":null},{"url":null,"slug":"object-centric-diffusion-for-efficient-video","title":"Object-Centric Diffusion for Efficient Video Editing","date":"2024-01-11","arxiv_id":"2401.05735","repositories_listed":0,"syntology":null},{"url":null,"slug":"raven-rethinking-adversarial-video-generation","title":"RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks","date":"2024-01-11","arxiv_id":"2401.06035","repositories_listed":0,"syntology":null},{"url":null,"slug":"yoio-you-only-iterate-once-by-mining-and","title":"YOIO: You Only Iterate Once by mining and fusing multiple necessary global information in the optical flow estimation","date":"2024-01-11","arxiv_id":"2401.05879","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-driven-traffic-anomaly-detection-with","title":"Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos","date":"2024-01-07","arxiv_id":"2401.03522","repositories_listed":0,"syntology":null},{"url":null,"slug":"group-activity-recognition-using-unreliable","title":"Group Activity Recognition using Unreliable Tracked Pose","date":"2024-01-06","arxiv_id":"2401.03262","repositories_listed":0,"syntology":null},{"url":null,"slug":"ddn-slam-real-time-dense-dynamic-neural","title":"DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAM","date":"2024-01-03","arxiv_id":"2401.01545","repositories_listed":0,"syntology":null},{"url":null,"slug":"flow-guided-online-stereo-rectification-for","title":"Flow-Guided Online Stereo Rectification for Wide Baseline Stereo","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"flowtrack-revisiting-optical-flow-for-long","title":"FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fsrt-facial-scene-representation-transformer-1","title":"FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance Head-pose and Facial Expression Features","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"parenerf-toward-fast-large-scale-dynamic-nerf","title":"PaReNeRF: Toward Fast Large-scale Dynamic NeRF with Patch-based Reference","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"projecting-trackable-thermal-patterns-for","title":"Projecting Trackable Thermal Patterns for Dynamic Computer Vision","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"flowvid-taming-imperfect-optical-flows-for","title":"FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis","date":"2023-12-29","arxiv_id":"2312.17681","repositories_listed":0,"syntology":null},{"url":null,"slug":"flowda-unsupervised-domain-adaptive-framework","title":"FlowDA: Unsupervised Domain Adaptive Framework for Optical Flow Estimation","date":"2023-12-28","arxiv_id":"2312.16995","repositories_listed":0,"syntology":null},{"url":null,"slug":"x-modality-assisting-rgbt-object-tracking","title":"X Modality Assisting RGBT Object Tracking","date":"2023-12-27","arxiv_id":"2312.17273","repositories_listed":0,"syntology":null},{"url":null,"slug":"appearance-based-refinement-for-object","title":"Appearance-Based Refinement for Object-Centric Motion Segmentation","date":"2023-12-18","arxiv_id":"2312.11463","repositories_listed":0,"syntology":null},{"url":null,"slug":"ntrack-a-multiple-object-tracker-and-dataset","title":"NTrack: A Multiple-Object Tracker and Dataset for Infield Cotton Boll Counting","date":"2023-12-18","arxiv_id":"2312.10922","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-aware-iteration-policy-network-for","title":"Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation","date":"2023-12-12","arxiv_id":"2312.07180","repositories_listed":0,"syntology":null},{"url":null,"slug":"early-action-recognition-with-action","title":"Early Action Recognition with Action Prototypes","date":"2023-12-11","arxiv_id":"2312.06598","repositories_listed":0,"syntology":null},{"url":null,"slug":"probabilistic-precipitation-downscaling-with","title":"Precipitation Downscaling with Spatiotemporal Video Diffusion","date":"2023-12-11","arxiv_id":"2312.06071","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-enabled-semantic-communication-2","title":"Deep Learning Enabled Semantic Communication Systems for Video Transmission","date":"2023-12-08","arxiv_id":"2312.05062","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-dense-alignment-of-image-bursts-through","title":"Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation","date":"2023-12-08","arxiv_id":"2312.05190","repositories_listed":0,"syntology":null},{"url":null,"slug":"save-protagonist-diversification-with","title":"SAVE: Protagonist Diversification with Structure Agnostic Video Editing","date":"2023-12-05","arxiv_id":"2312.02503","repositories_listed":0,"syntology":null},{"url":null,"slug":"periodic-vibration-gaussian-dynamic-urban","title":"Periodic Vibration Gaussian: Dynamic Urban Scene Reconstruction and Real-time Rendering","date":"2023-11-30","arxiv_id":"2311.18561","repositories_listed":0,"syntology":null},{"url":null,"slug":"simulflow-simultaneously-extracting-feature","title":"SimulFlow: Simultaneously Extracting Feature and Identifying Target for Unsupervised Video Object Segmentation","date":"2023-11-30","arxiv_id":"2311.18286","repositories_listed":0,"syntology":null},{"url":null,"slug":"un-evmoseg-unsupervised-event-based","title":"Un-EvMoSeg: Unsupervised Event-based Independent Motion Segmentation","date":"2023-11-30","arxiv_id":"2312.00114","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-motion-magnification-by","title":"Self-Supervised Motion Magnification by Backpropagating Through Optical Flow","date":"2023-11-28","arxiv_id":"2311.17056","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-anomaly-detection-via-spatio-temporal","title":"Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach","date":"2023-11-27","arxiv_id":"2311.16514","repositories_listed":0,"syntology":null},{"url":null,"slug":"highly-detailed-and-temporal-consistent-video","title":"Highly Detailed and Temporal Consistent Video Stylization via Synchronized Multi-Frame Diffusion","date":"2023-11-24","arxiv_id":"2311.14343","repositories_listed":0,"syntology":null},{"url":null,"slug":"movideo-motion-aware-video-generation-with","title":"MoVideo: Motion-Aware Video Generation with Diffusion Models","date":"2023-11-19","arxiv_id":"2311.11325","repositories_listed":0,"syntology":null},{"url":null,"slug":"invariant-based-mapping-of-space-during","title":"Invariant-based Mapping of Space During General Motion of an Observer","date":"2023-11-18","arxiv_id":"2311.11130","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-video-based-activity-classification-of","title":"A Video-Based Activity Classification of Human Pickers in Agriculture","date":"2023-11-17","arxiv_id":"2311.10885","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-temporally-aware-deepfake-detection","title":"Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors","date":"2023-11-17","arxiv_id":"2311.10788","repositories_listed":0,"syntology":null},{"url":null,"slug":"amodal-optical-flow","title":"Amodal Optical Flow","date":"2023-11-13","arxiv_id":"2311.07761","repositories_listed":0,"syntology":null},{"url":null,"slug":"deformable-groupwise-registration-using-a","title":"Improve Myocardial Strain Estimation based on Deformable Groupwise Registration with a Locally Low-Rank Dissimilarity Metric","date":"2023-11-13","arxiv_id":"2311.07348","repositories_listed":0,"syntology":null},{"url":null,"slug":"non-contact-breathing-rate-detection-using","title":"Non-Contact Breathing Rate Detection Using Optical Flow","date":"2023-11-13","arxiv_id":"2311.08426","repositories_listed":0,"syntology":null}],"record_sha256":"fe64190418750986d53b5e791c211b894bc964a62ae1e1044715f07f962721c7","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}