activity
20222024
most citedGeneralized Relation Modeling for Transformer Tracking

11 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

M2-RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text Retrieval

Xingning Dong, Zipeng Feng, Chunluan Zhou +3

We present a Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards effective and efficient zero-shot video-text retrieval, dubbed M2-RAAP. Upon popular image-text…

cs.CV2023

SOAR: Scene-debiasing Open-set Action Recognition

Yuanhao Zhai, Ziyi Liu, Zhenyu Wu +5

Deep learning models have a risk of utilizing spurious clues to make predictions, such as recognizing actions based on the background scene. This issue can severely degrade the ope…

cs.CV20231 cited

EVE: Efficient zero-shot text-based Video Editing with Depth Map Guidance and Temporal Consistency Constraints

Yutao Chen, Xingning Dong, Tian Gan +3

Motivated by the superior performance of image diffusion models, more and more researchers strive to extend these models to the text-based video editing task. Nevertheless, current…

cs.CV202311 cited

Generalized Relation Modeling for Transformer Tracking

Shenyuan Gao, Chunluan Zhou, Jun Zhang

Compared with previous two-stream trackers, the recent one-stream tracking pipeline, which allows earlier interaction between the template and search region, has achieved a remarka…

cs.CV20221 cited

AiATrack: Attention in Attention for Transformer Visual Tracking

Shenyuan Gao, Chunluan Zhou, Chao Ma +2

Transformer trackers have achieved impressive advancements recently, where the attention mechanism plays an important role. However, the independent correlation computation in the…