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20172025
most citedMemory-augmented Dense Predictive Coding for Video Representation Learning

81 citations · 147 across the 8 of their papers we have counts for

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14 papers · 1 filter

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

Learning from Streaming Video with Orthogonal Gradients

Tengda Han, Dilara Gokay, Joseph Heyward +6

We address the challenge of representation learning from a continuous stream of video as input, in a self-supervised manner. This differs from the standard approaches to video lear…

cs.CV2025

Shot-by-Shot: Film-Grammar-Aware Training-Free Audio Description Generation

Junyu Xie, Tengda Han, Max Bain +5

Our objective is the automatic generation of Audio Descriptions (ADs) for edited video material, such as movies and TV series. To achieve this, we propose a two-stage framework tha…