Long-Video QA

QA: Question Answering

Follow this topic Ask about this topic

Momentum

12 papers in the last four weeks, up 200% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 61

All topics

CoVStream: Edge-Cloud Collaboration for Understanding of Long Video Streams
Jun 22, 2026Xu Liu, Guikun Chen, Zihao Yan +2Streaming Video Understanding Long-Video Understanding
The State Key Lab of Brain-Machine Intelligence, Zhejiang University · vivo Mobile Communication Co., Ltd., Shenzhen, China.
TimeProVe: Propose, then Verify for Efficient Long Video Temporal Reasoning in Activities of Daily Living
Jun 18, 2026Arkaprava Sinha, Dominick Reilly, Siddharth Krishnan +2Temporal Video Grounding Efficient VLM Inference
University of North Carolina, Charlotte
VL-MemKnG: Hybrid Memory with a Spatio-Temporal Knowledge Graph for Question Answering over Long Egocentric Navigation Trajectories
Jun 15, 2026Svetlana Lukina, Mohamad Al Mdfaa, Gloria Haro +2Egocentric Video QA Video QA
Mobile Robotics Laboratory, Artificial Intelligence Center, Moscow, Russia · Intelligent Multimodal Vision Analysis Group, Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain · Independent Researcher
OmniVideo-100K: A Dataset for Audio-Visual Reasoning through Structured Scripts and Evidence Chains
Jun 12, 2026Xinyue Cai, Chaoyou Fu, Yi-Fan Zhang +2Multimodal QA Audio-Visual QA
1Nanjing University · 2CASIA
Rethinking RAG in Long Videos: What to Retrieve and How to Use It?
Jun 11, 2026Yuho Lee, Jisu Shin, Nicole Hee-Yeon Kim +5Multimodal RAG Egocentric Video Understanding
KAIST, YH, Seoul, Republic of Korea · Qualcomm AI Research, Qualcomm Korea, YH, Seoul, Republic of Korea
From Content to Knowledge: Lightning Fast Long-Video Understanding with Neural Knowledge Representations
Jun 10, 2026Yuchen Guan, Xiao Li, Zongyu Guo +4Efficient VLM Inference Long-Video Understanding
Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · Microsoft Research Asia
See More, Think Deeper: Query-Expanded Visual Evidence and Answer-Clue Guided Reflection for Long Video Understanding
Jun 8, 2026Shuning Wang, Zhiheng Wu, YiNuo Lu +6Video QA Video-Language Models
Baidu Inc. · Harbin Institute of Technology · Hong Kong University of Science and Technology
StoryVideoQA: Scaling Deep Video Understanding with a Large-Scale, Multi-Genre and Auto-Generated Dataset
Jun 4, 2026Zhengqian Wu, Zhixian Liu, Aodong Chen +6Video Understanding Synthetic Data Generation
School of Computer Science, Wuhan University, Wuhan, 430072, Hubei, China. · 2National Engineering Research Center for Multimedia Software, China. · 3Hubei Key Laboratory of Multimedia and Network Communication Engineering, China.
MemoryCard: Topic-Aware Multi-Modal Clue Compression for Long-Video Question Answering
Jun 4, 2026Qing Yang, Pengcheng Huang, Xinze Li +6Video Summarization Video QA
School of Computer Science and Engineering, Northeastern University, Shenyang, China · Department of Computer Science and Technology, Tsinghua University, Beijing, China · Digital China Group, Beijing, China
GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning
Jun 3, 2026Haozhe Chi, Yang Jin, Yadong MuVideo QA Long-Video Understanding
Peking University
Temporal Evidence Routing with Structured Visual Evidence for TimeLogicQA
May 31, 2026Yuyang Sun, Yongliang Wu, Xingyu Zhu +8Video QA Structured Reasoning
Southeast University · National University of Singapore · Independent Researcher +2
SuperMemory-VQA: An Egocentric Visual Question-Answering Benchmark for Long-Horizon Memory
May 30, 2026Samiul Alam, Shakhrul Iman Siam, Michael J. Proulx +4Multimodal Memory Egocentric Video QA
The Ohio State University · Meta
CASTLE2026 Team WDL Technical Report
May 30, 2026Zhengyang Li, Zhenglin Du, Yi Wen +3Multimodal RAG Egocentric Video QA
Key Laboratory of Intelligent Perception and Image 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 +2Egocentric Video QA Video QA
Lenovo, China
CuriosAI Submission to the CASTLE Challenge at EgoVis 2026
May 27, 2026Yuto Kanda, Hayato Tanoue, Takayuki HoriEgocentric Video QA Egocentric Video Understanding
SoftBank Corp.
Decomposing Queries into Tool Calls for Long-Video Keyframe Retrieval
May 22, 2026Michal Shlapentokh-Rothman, Prachi Garg, Yu-Xiong Wang +1Tool Use in VLMs Temporal IR
University of Illinois at Urbana-Champaign
Swift Sampling: Selecting Temporal Surprises via Taylor Series
May 21, 2026Dahye Kim, Bhuvan Sachdeva, Karan Uppal +3Video Frame Selection Long-Video QA
Boston University · Microsoft Research India
MuKV: Multi-Grained KV Cache Compression for Long Streaming Video Question-Answering
May 21, 2026Junbin Xiao, Jiajun Chen, Tianxiang Sun +2KV Caching Video QA
University of Science and Technology of China · National University of Singapore
SurgLQA: Scalable Long-Horizon Surgical Video Question Answering
May 18, 2026Diandian Guo, Xikai Yang, Ruiyang Li +2Temporal Video Grounding Test-Time Scaling
The Chinese University of Hong Kong
AdaFocus: Adaptive Relevance-Diversity Sampling with Zero-Cache Look-back for Efficient Long Video Understanding
May 13, 2026Xiao Yang, Yingzhe Ma, Haoxuan Yu +2Efficient VLM Inference Long-Video Understanding
University of Electronic Science and Technology of China · China
VideoSEAL: Mitigating Evidence Misalignment in Agentic Long Video Understanding by Decoupling Answer Authority
May 12, 2026Chenhao Qiu, Yechao Zhang, Xin Luo +2Large Vision-Language Models Video QA
Mango TV · Mango TV, Changsha, China · Nanyang Technological University +1
Bridging Modalities, Spanning Time: Structured Memory for Ultra-Long Agentic Video Reasoning
May 8, 2026Jiazheng Li, Chi-Hao Wu, Yunze Liu +3Video Understanding Multimodal Memory
University of Connecticut · Northwestern University · University of Virginia
Event-Causal RAG: A Retrieval-Augmented Generation Framework for Long Video Reasoning in Complex Scenarios
May 7, 2026Peizheng Yan, Yu Zhao, Liang Xie +3Retrieval-Augmented Generation Streaming Video Understanding
Tianjin Key Lab of Intelligent Unmanned Swarm Tech & System Tianjin University Tianjin, China · Institute of Computing and Intelligence Harbin Institute of Technology (Shenzhen) Shenzhen, China · Tianjin Artificial Intelligence Innovation Center Tianjin, China +2
SF20K Competition 2025: Summary and findings
May 2, 2026Ridouane Ghermi, Xi Wang, Vicky Kalogeiton +1VLM Evaluation Video Understanding
VideoZeroBench: Probing the Limits of Video MLLMs with Spatio-Temporal Evidence Verification
Apr 2, 2026Jiahao Meng, Yue Tan, Qi Xu +9Video-Language Model Evaluation Long-Video QA
PKU · WHU · CASIA +2
VideoTIR: Accurate Understanding for Long Videos with Efficient Tool-Integrated Reasoning
Mar 26, 2026Zhe Gao, Shiyu Shen, Taifeng Chai +7Tool Use in VLMs Efficient VLM Inference
Nanjing University, Nanjing, China · Nankai University, Tianjin, China · East China Normal University, Shanghai, China +3
HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering
Mar 19, 2026Dan Ben-Ami, Gabriele Serussi, Kobi Cohen +1Multimodal Large Language Models Multimodal QA
INSIGHT Lab, Ben-Gurion University of the Negev, Israel · Ben-Gurion University of the Negev, Israel
FocusGraph: Graph-Structured Frame Selection for Embodied Long Video Question Answering
Mar 4, 2026Tatiana Zemskova, Solomon Andryushenko, Ilya Obrubov +4Efficient VLM Inference Egocentric Video QA
AXXX · MIRAI · Yandex +1
Agentic Very Long Video Understanding
Jan 26, 2026Aniket Rege, Arka Sadhu, Yuliang Li +5Question Answering Egocentric Video Understanding
Reality Labs Research at Meta · University of Wisconsin-Madison · Work done during internship at Meta
Routing Before Looking: Query-Adaptive Evidence Acquisition for Long-form Video Understanding
Date pendingTianyue Wang, Xuying Wu, Yuxiang Ma +7Adaptive Retrieval Long-Video Understanding
School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences · Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences · Tencent +3

Jun 22, 2026, cs.CVJ/K move · Enter open · S save

CoVStream: Edge-Cloud Collaboration for Understanding of Long Video Streams

Xu Liu, Guikun Chen, Zihao Yan, Kanzhi Wu+1

The State Key Lab of Brain-Machine Intelligence, Zhejiang University · vivo Mobile Communication Co., Ltd., Shenzhen, China.

Streaming Video Understanding Long-Video Understanding Edge ML Long-Video QA Edge-Cloud Computing

Open paper AskPDF arXiv

Long, continuous video streams are an increasingly critical driver of multimedia intelligence. Existing efforts often handle long videos with a sample-encode-reason approach using large models. However, they overlook a crucial deployment fact: the stream is often produced by computationally constrained devices. This forces an untenable compromise: cloud offloading unlocks strong reasoning but incurs prohibitive bandwidth overhead, while on-device processing remains limited by edge hardware capacity. Therefore, we propose CoVStream, the first edge-cloud collaborative framework for understanding long video streams. The edge node distills raw video streams into compact visual features and semantic captions for transmission to the cloud, minimizing bandwidth costs, while the cloud server integrates this data into an entity graph and global visual context, activating the heavy reasoning model only when a user query arrives. Experiments on VideoMME-Long, LVBench, and RTV-Bench show that CoVStream reduces bandwidth usage by 87.6% while retaining 99.2% of the cloud baseline accuracy on LVBench.

Momentum

Related topics

Latest papers 61