10 papers
GMOS: Grounding Moving Object Segmentation in 3D Space and Time
Junyu Xie, Tengda Han, Weidi Xie +1
Moving Object Segmentation (MOS) aims to discover, segment, and track objects that move independently of the camera. Current MOS methods, however, exhibit two fundamental limitatio…
Unique Lives, Shared World: Learning from Single-Life Videos
Tengda Han, Sayna Ebrahimi, Dilara Gokay +8
We introduce the "single-life" learning paradigm, where we train a distinct vision model exclusively on egocentric videos captured by one individual. We leverage the multiple viewp…
Seeing without Pixels: Perception from Camera Trajectories
Zihui Xue, Kristen Grauman, Dima Damen +2
Can one perceive a video's content without seeing its pixels, just from the camera trajectory-the path it carves through space? This paper is the first to systematically investigat…
Dynamic Reflections: Probing Video Representations with Text Alignment
Tyler Zhu, Tengda Han, Leonidas Guibas +2
The alignment of representations from different modalities has recently been shown to provide insights on the structural similarities and downstream capabilities of different encod…
More than a Moment: Towards Coherent Sequences of Audio Descriptions
Eshika Khandelwal, Junyu Xie, Tengda Han +5
Audio Descriptions (ADs) convey essential on-screen information, allowing visually impaired audiences to follow videos. To be effective, ADs must form a coherent sequence that help…
Character-Centric Understanding of Animated Movies
Zhongrui Gui, Junyu Xie, Tengda Han +2
Animated movies are captivating for their unique character designs and imaginative storytelling, yet they pose significant challenges for existing recognition systems. Unlike the c…