4 papers · 1 filter
STORM: End-to-End Referring Multi-Object Tracking in Videos
Zijia Lu, Jingru Yi, Jue Wang +4
Referring multi-object tracking (RMOT) is a task of associating all the objects in a video that semantically match with given textual queries or referring expressions. Existing RMO…
Learning Compact Video Representations for Efficient Long-form Video Understanding in Large Multimodal Models
Yuxiao Chen, Jue Wang, Zhikang Zhang +8
With recent advancements in video backbone architectures, combined with the remarkable achievements of large language models (LLMs), the analysis of long-form videos spanning tens…
Video Token Merging for Long-form Video Understanding
Seon-Ho Lee, Jue Wang, Zhikang Zhang +2
As the scale of data and models for video understanding rapidly expand, handling long-form video input in transformer-based models presents a practical challenge. Rather than resor…
Text-Guided Video Masked Autoencoder
David Fan, Jue Wang, Shuai Liao +3
Recent video masked autoencoder (MAE) works have designed improved masking algorithms focused on saliency. These works leverage visual cues such as motion to mask the most salient…