Videos

Follow this field Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

18 new papers

A weekly snapshot of new work published in Videos.

Period ending 2026-09-14

29 new papers

A weekly snapshot of new work published in Videos.

Period ending 2026-09-07

22 new papers

A weekly snapshot of new work published in Videos.

Inside this field

Focused directions

Focused topic

Videos

Within Videos

246 papersExplore

Focused topic

Video Understanding

Within Videos

211 papersExplore

Focused topic

Video Dataset

Within Videos

113 papersExplore

Focused topic

Fine-Grained Video Understanding

Within Videos

97 papersExplore

Focused topic

Video-Language Models

Within Videos

58 papersExplore

Focused topic

Video Question Answering

Within Videos

55 papersExplore

Focused topic

Longvideobench

Within Videos

50 papersExplore

Focused topic

Real-World Videos

Within Videos

25 papersExplore

737 papers

Latest in Videos

Browse all topics →

SuperMemory-VQA: An Egocentric Visual Question-Answering Benchmark for Long-Horizon Memory
May 30, 2026Samiul Alam, Shakhrul Iman Siam, Michael J. Proulx +4Visual Memory Textvqa
MBench: A Comprehensive Benchmark on Memory Capability for Video World Models
May 30, 2026Shengjun Zhang, Zhang Zhang, Simin Huang +11Video World Models Longvideobench
Head-Pose-Aware Visual Speech Recognition with FiLM Modulation
May 30, 2026Matthew Kit Khinn Teng, Haibo Zhang, Takeshi SaitohVideos
CASTLE2026 Team WDL Technical Report
May 30, 2026Zhengyang Li, Zhenglin Du, Yi Wen +3Video Question Answering Egocentric Video
FlowNar: Scalable Streaming Narration for Long-Form Videos
May 30, 2026Zeyun Zhong, Manuel Martin, Chengzhi Wu +4Streaming Video Videos
Sandboxed Coding Agents are Competitive Omni-modal Task Solvers
May 30, 2026Dongping Chen, Xuanao Huang, Zhihan Hu +3Multimodal Agents Omni-Modal
Linear Scaling Video VLMs for Long Video Understanding
May 29, 2026Cristobal Eyzaguirre, Jiajun Wu, Juan Carlos NieblesLongvideobench Spatial Attention
TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation
May 29, 2026Ruotong Liao, Guowen Huang, Qing Cheng +6High-Fidelity Video Generation Videos
RayDer: Scalable Self-Supervised Novel View Synthesis from Real-World Video
May 29, 2026Ulrich Prestel, Stefan Andreas Baumann, Nick Stracke +1Novel View Synthesis Photometric Supervision
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence
May 29, 2026Yulu Pan, Han Yi, Seongsu Ha +4Video Understanding Multi-Agent Systems
Towards Effective Long-Video Event Prediction via Multi-Level Event Semantics Mining
May 29, 2026Bo Peng, YuanJie Lyu, PengGang Qin +1Future Video Prediction Video-Language Models
PEEK: Picking Essential frames via Efficient Knowledge distillation
May 29, 2026Killian Steunou, Anas Filali Razzouki, Khalil Guetari +2Video-Language Models Frame Rate
SLAP: The Semantic Least Action Principle for Variational Video-Language Modeling
May 29, 2026Xiang Fang, Wanlong FangVideo-Language Models Hallucinations
Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding
May 29, 2026Xiang Fang, Daizong Liu, Wanlong Fang +4Temporal Grounding Cross-Modal Alignment
GPIC: A Giant Permissive Image Corpus for Visual Generation
May 28, 2026Keshigeyan Chandrasegaran, Kyle Sargent, Suchir Agarwal +6Vision Datasets Large-Scale Image Generation
VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents
May 28, 2026Amrita Mazumdar, Seonwook Park, Rajarshi Roy +6Full-Duplex Dialogue Nonverbal Cues
EarlyTom: Early Token Compression Completes Fast Video Understanding
May 28, 2026Hesong Wang, Xin Jin, Lu Lu +4Token Compression Vision Encoders
Not All Inputs Are Valid: Towards Open-Set Video Moment Retrieval Using Language
May 28, 2026Xiang Fang, Wanlong Fang, Daizong Liu +8Fine-Grained Video Understanding Videos
Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language
May 28, 2026Xiang Fang, Daizong Liu, Wanlong Fang +5Videos Cross-Modal Learning
MMTM: Tri-Modal Topic Modeling for Long-Form Video via Similarity-Gated Fusion
May 28, 2026Ali Abusaleh, Bhuvanesh Verma, Alexander MehlerVideo Understanding Topic Modeling
GeoMag: Geometric-Aware Video Motion Magnification via State Space Model
May 28, 2026Kecheng Han, Yuchen Zhang, Bingqing Liu +3Motion-Focused Representations Real-World Videos
AgentCVR: Active Multi-Agent Cross-Video Reasoning via Script-Simulated Reinforcement Learning
May 28, 2026Yilun Qiu, Jiahe Wang, Cilin Yan +4Agentic Video Generation Video Understanding
Semantic and Visual Evidence for Efficient Long-Video Reasoning: A Solution for the HD-EPIC VQA Challenge
May 28, 2026Yinsong Xu, Wei Jing, Liuxin Zhang +2Video Understanding Knowledge-Based Visual Question Answering
Multi-Stage VLM Pipeline for Zero-Shot Traffic Accident Understanding
May 28, 2026Fumiya Tatematsu, Fumihiko TakahashiAccidents Robust Vehicle Recognition
HarmoVid: Relightful Video Portrait Harmonization
May 27, 2026Jun Myeong Choi, Jae Shin Yoon, Luchao Qi +2Photorealistic Video Restoration Pre-Trained Video Diffusion Models
Refining Multidimensional Video Reward Models via Disentangled Influence Functions
May 27, 2026Muyao Wang, Zeke Xie, Hideki NakayamaText-To-Video Models Fine-Grained Video Understanding
ST-ColoNet: Spatio-Temporal Colon Segment Recognition via Hybrid Attention and Edge-Guided Feature Learning
May 27, 2026Crystal Cai, Ziyi Wang, Zhengjie Zhang +3Colonoscopy Segmentation Model
Rethinking Video-Language Model from the Language Input Perspective
May 27, 2026Xiang Fang, Wanlong Fang, Changshuo Wang +2Video-Language Models Cross-Modal Learning
Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs
May 27, 2026Xiang Fang, Wanlong Fang, Changshuo Wang +4Video-Language Models Multimodal Reasoning
Reflective Dialogue between Teacher and Solver Agents for Video Question Answering
May 27, 2026Takuya Murakawa, Toru TamakiVideo Question Answering In-Context Learning
Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench, A Knowledge-Skills-Attitude Benchmark for Educational Video Generation
May 26, 2026Unggi Lee, Hoyoung Ahn, Yoon Choi +16Longvideobench Pedagogy
SteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation
May 26, 2026Melanie Neubauer, Christian Rauch, Gerald Koinig +3Video Dataset Object Detection
DynFrame: Adaptive Reasoning-Driven Multimodal Framework with Dynamic Frame Augmentation for Complex Video Understanding
May 26, 2026Peng Zhang, Guanghao Zhang, Wanggui He +10Video Understanding Videos
O-MARC: Omni Memory-Augmented Compression Distillation for Efficient Video Understanding
May 26, 2026Peiran Wu, Yunze Liu, Chi-Hao Wu +2Audio-Visual Reasoning Video Understanding
CoCoVideo: The High-Quality Commercial-Model-Based Contrastive Benchmark for AI-Generated Video Detection
May 26, 2026Huidong Feng, Wentao Chen, Jie Chen +5Deepfake Detection Machine-Generated Text Detection
Not All Modalities Are Equal: Instruction-Aware Gating for Multimodal Videos
May 25, 2026Bonan Ding, Umair Nawaz, Ufaq Khan +5Cross-Modal Attention Video Understanding
STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models
May 25, 2026Yiming Liang, Yixiao Chen, Yiyang Zhou +8Video-Language Models Video Understanding
LLaVA-OneVision-2: Towards Next-Generation Perceptual Intelligence
May 25, 2026Xiang An, Yin Xie, Feilong Tang +27Video Understanding Vision Encoders
An Analysis Focused on Womens Safety: Can VAD Models Be Enhanced by a Multi-modal Dataset?
May 25, 2026Sangeeta ., Maddikuntla Sai Prajwal, Debi Prosad Dogra +4Video Anomaly Understanding Multimodal Dataset
UAV-OVO: Out-of-Viewpoint Generalization in UAV Action Recognition
May 25, 2026Yu Xia, Zhengbo Zhang, Shuaihu Zhang +1Unmanned Aerial Vehicle Detection Open-Vocabulary Action Recognition
Tetris: Tile-level Sampling for Efficient and High-Fidelity Video Object Tracking
May 25, 2026Chanwut Kittivorawong, Alena Chao, Charlie Si +1Multi-Object Tracking Video Dataset
MetaphorVU: Towards Metaphorical Video Understanding
May 25, 2026Zhuoqun Li, Boxi Cao, Guiping Jiang +13Video Understanding Metaphors
FoodMonitor: Benchmarking MLLMs for Explainable Compliance Analysis
May 23, 2026Ruihao Xu, Xingming Shui, Jingxuan Niu +4Video Anomaly Understanding Compliance
EgoAction: Egocentric Action Composition with Reliability-Aware Temporal Fusion for the EPIC-KITCHENS Action Detection Challenge at CVPR 2026
May 23, 2026Zhiheng Fu, Zixu Li, Zhiwei Chen +4Temporal Action Localization Open-Vocabulary Action Recognition
Learning a Particle Dynamics Model with Real-world Videos
May 22, 2026Chanho Kim, Suhas V. Sumukh, Li FuxinPhysical Dynamics Physics Simulation
Decomposing Queries into Tool Calls for Long-Video Keyframe Retrieval
May 22, 2026Michal Shlapentokh-Rothman, Prachi Garg, Yu-Xiong Wang +1Keyframe Selection Video Question Answering
Direct Dynamic Retargeting for Humanoid Imitation Learning from Videos
May 22, 2026Constant Roux, Ludovic De Matteïs, Armand Jordana +4Motion Retargeting Motion Imitation
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation
May 22, 2026Jente Vandersanden, Matheus Gadelha, Chun-Hao P. Huang +2Videos Training-Free
Decoupling Spatio-Temporal Adapter for Fine-Grained Badminton Action Localization
May 22, 2026Tianyu Wang, Junjie Wu, Jingquan Gao +1Temporal Action Localization Fine-Grained Spatio-Temporal Information
Spatio-Temporal Similarity Volume Aggregation for Open-Vocabulary Action Recognition
May 22, 2026Yerim So, Jiyeong Kim, Jiwon Yoon +1Open-Vocabulary Action Recognition Fine-Grained Video Understanding
U-CESE: Unified Clip-based Event Search Engine for AI Challenge HCMC 2025
May 22, 2026Duc-Nhuan Le, Hoang-Phuc Nguyen, Thanh-Duy Lam +2Multimodal Retrieval Fine-Grained Video Understanding
GazeBehavior Annotation Toolkit (GBAT): AI-powered toolkit for automatic annotation of egocentric eye-tracking and video data of child-caregiver interaction
May 21, 2026Iba Baig, Kevin Li, Yanbin Xu +5Eye Tracking Gaze
VideoOdyssey: A Benchmark for Ultra-Long-Context and Omni-Modal Video Understanding
May 21, 2026Haichen He, Jiayi Zhou, Sifeng Shang +3Video Understanding Efficient Long-Context Inference
Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video-LLMs
May 21, 2026Jongseo Lee, Hyuntak Lee, Sunghun Kim +3Video Understanding Blind Spots
Cambrian-P: Pose-Grounded Video Understanding
May 21, 2026Jihan Yang, Zifan Zhao, Xichen Pan +5Video Understanding Spatial Reasoning
MOTOR: A Multimodal Dataset for Two-Wheeler Rider Behavior Understanding
May 21, 2026Varun A. Paturkar, Shankar Gangisetty, C. V. JawaharNaturalistic Driving Data Driving
Segment Anything with Motion, Geometry, and Semantic Adaptation for Complex Nonlinear Visual Object Tracking
May 21, 2026Deyi Zhu, Yuji Wang, Yong Liu +4Multi-Object Tracking Video Object Segmentation
MuKV: Multi-Grained KV Cache Compression for Long Streaming Video Question-Answering
May 21, 2026Junbin Xiao, Jiajun Chen, Tianxiang Sun +2Video Question Answering Key-Value Cache Compression
ST-SimDiff: Balancing Spatiotemporal Similarity and Difference for Efficient Video Understanding with MLLMs
May 21, 2026Bingjun Luo, Tony Wang, Chaoqi Chen +1Video Understanding Visual Tokens
Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning
May 21, 2026Dazhao Du, Jian Liu, Jialong Qin +7Video-Language Models Counterfactual Rollouts

May 30, 2026 · cs.CVJ/K move · Enter open · S save

SuperMemory-VQA: An Egocentric Visual Question-Answering Benchmark for Long-Horizon Memory

Samiul Alam, Shakhrul Iman Siam, Michael J. Proulx, James Fort+3

The Ohio State University · Meta

AI glasses present a compelling platform for AI agents to serve as personalized memory assistants. To be genuinely useful, such systems must move beyond short-term video comprehension and address memory gaps that humans experience for practical, personal, or social purposes over longitudinal egocentric video streams. However, existing egocentric datasets predominantly focus on action recognition or generic QAs from short clips, measuring perceptual capabilities rather than realistic human memory needs. We introduce SuperMemory-VQA, an egocentric visual question answering (VQA) dataset for evaluating AI assistants on practical, long-horizon memory tasks. It contains 52.9 hours of everyday activities recorded with AI glasses, including synchronized RGB video, audio transcription, eye gaze, IMU, and SLAM trajectories. Through a human-verified annotation pipeline, we construct grounded 4,853 question-answer pairs that span object and location memory, intent recall, visual scene recall, timeline reconstruction, conversational memory, and in-context retrieval. Each question is posed as multiple-choice with an explicit "unanswerable" option to test hallucination robustness. Benchmarking leading agentic frameworks and LLM backbones reveals that existing systems remain far from reliable on real-world memory tasks, highlighting the need for new architectures for grounded AI memory that can answer only when evidence is sufficient. A participant survey further supports that our questions are realistic, useful, and aligned with everyday memory needs.

Visual Memory Textvqa Agent Memory Video Understanding Egocentric Vision Wearable Devices

Open paper Ask about it PDF