3 citations · 3 across the 9 of their papers we have counts for
9 papers
ObjectStream: Latent Objects as Memory Anchors for Streaming Video Understanding
Mingkang Dong, Muxin Pu, Jie Li +8
Streaming video understanding requires models to continuously retain useful visual evidence before future questions are known. Existing approaches primarily manage the growing visu…
SwiftVR: Real-Time One-Step Generative Video Restoration
Jiaqi Yan, Xiangyu Chen, Xinlin Zhong +5
Real-time video restoration (VR) for live streams requires high-resolution outputs under strict per-frame latency constraints. Existing one-step diffusion-based VR models remain di…
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization
Jie Li, Kwan-Yee K. Wong, Kai Han
Vector quantization (VQ) is a prevalent and fundamental technique that discretizes continuous feature vectors by approximating them using a codebook. As the diversity and complexit…
Pistachio: Towards Synthetic, Balanced, and Long-Form Video Anomaly Benchmarks
Jie Li, Hongyi Cai, Mingkang Dong +4
Automatically detecting abnormal events in videos is crucial for modern autonomous systems, yet existing Video Anomaly Detection (VAD) benchmarks lack the scene diversity, balanced…
CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World
Yating Yu, Congqi Cao, Zhaoying Wang +6
How far are deep models from real-world video anomaly understanding (VAU)? Current works typically emphasize on detecting unexpected occurrences deviated from normal patterns or co…
Compact Attention: Exploiting Structured Spatio-Temporal Sparsity for Fast Video Generation
Qirui Li, Guangcong Zheng, Qi Zhao +4
The computational demands of self-attention mechanisms pose a critical challenge for transformer-based video generation, particularly in synthesizing ultra-long sequences. Current…
AgileIR: Memory-Efficient Group Shifted Windows Attention for Agile Image Restoration
Hongyi Cai, Mohammad Mahdinur Rahman, Mohammad Shahid Akhtar +3
Image Transformers show a magnificent success in Image Restoration tasks. Nevertheless, most of transformer-based models are strictly bounded by exorbitant memory occupancy. Our go…
Progress and Prospects in 3D Generative AI: A Technical Overview including 3D human
Song Bai, Jie Li
While AI-generated text and 2D images continue to expand its territory, 3D generation has gradually emerged as a trend that cannot be ignored. Since the year 2023 an abundant amoun…
Audio-visual Saliency for Omnidirectional Videos
Yuxin Zhu, Xilei Zhu, Huiyu Duan +6
Visual saliency prediction for omnidirectional videos (ODVs) has shown great significance and necessity for omnidirectional videos to help ODV coding, ODV transmission, ODV renderi…