4 citations · 5 across the 9 of their papers we have counts for
10 papers · 1 filter
InteractionBench: A Real-Time Interaction Benchmark for Streaming Video Systems
Enxin Song, Suhao Yu, Yifei Xu +7
A video assistant must speak when its instruction warrants a response and stay silent otherwise. We introduce a benchmark that evaluates this decision for the complete system of mo…
Video-Index: A Curated Meta-Benchmark for Video Understanding
Enxin Song, Yinuo Xu, Shusheng Yang +2
A video benchmark should reward the capability it claims to measure, yet models can exploit answer options, question text, or partial visual evidence. We introduce the attack pyram…
HARMONY: Hierarchical Agentic Reasoning for MONocular Image-to-Scene Synthesis
Shufan Sun, Chen Wang, Enxin Song +2
Compositional 3D scene reconstruction has recently been explored from two directions: agentic reasoning that provides semantic understanding of spatial relationships but lacks prec…
VideoNSA: Native Sparse Attention Scales Video Understanding
Enxin Song, Wenhao Chai, Shusheng Yang +5
Video understanding in multimodal language models remains limited by context length: models often miss key transition frames and struggle to maintain coherence across long time sca…
AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding
Weili Xu, Enxin Song, Wenhao Chai +3
The challenge of long video understanding lies in its high computational complexity and prohibitive memory cost, since the memory and computation required by transformer-based LLMs…
Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark
Enxin Song, Wenhao Chai, Weili Xu +3
Recent advancements in language multimodal models (LMMs) for video have demonstrated their potential for understanding video content, yet the task of comprehending multi-discipline…
Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis
Jinbin Bai, Tian Ye, Wei Chow +5
We present Meissonic, which elevates non-autoregressive masked image modeling (MIM) text-to-image to a level comparable with state-of-the-art diffusion models like SDXL. By incorpo…
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Wenhao Chai, Enxin Song, Yilun Du +6
Video detailed captioning is a key task which aims to generate comprehensive and coherent textual descriptions of video content, benefiting both video understanding and generation.…
MovieChat+: Question-aware Sparse Memory for Long Video Question Answering
Enxin Song, Wenhao Chai, Tian Ye +3
Recently, integrating video foundation models and large language models to build a video understanding system can overcome the limitations of specific pre-defined vision tasks. Yet…
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Enxin Song, Wenhao Chai, Guanhong Wang +10
Recently, integrating video foundation models and large language models to build a video understanding system can overcome the limitations of specific pre-defined vision tasks. Yet…