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20172022
most citedAn End-to-End Compression Framework Based on Convolutional Neural Networks

9 citations · 21 across the 6 of their papers we have counts for

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9 papers · 1 filter

cs.CV20235 cited

StableVideo: Text-driven Consistency-aware Diffusion Video Editing

Wenhao Chai, Xun Guo, Gaoang Wang +1

Diffusion-based methods can generate realistic images and videos, but they struggle to edit existing objects in a video while preserving their appearance over time. This prevents d…

cs.CV2023

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…

cs.CV2022

Rethinking Minimal Sufficient Representation in Contrastive Learning

Haoqing Wang, Xun Guo, Zhi-Hong Deng +1

Contrastive learning between different views of the data achieves outstanding success in the field of self-supervised representation learning and the learned representations are us…

cs.CV20222 cited

Semantic-aligned Fusion Transformer for One-shot Object Detection

Yizhou Zhao, Xun Guo, Yan Lu

One-shot object detection aims at detecting novel objects according to merely one given instance. With extreme data scarcity, current approaches explore various feature fusions to…

cs.CV20212 cited

Self-Supervised Video Representation Learning with Meta-Contrastive Network

Yuanze Lin, Xun Guo, Yan Lu

Self-supervised learning has been successfully applied to pre-train video representations, which aims at efficient adaptation from pre-training domain to downstream tasks. Existing…

cs.CV20211 cited

SSAN: Separable Self-Attention Network for Video Representation Learning

Xudong Guo, Xun Guo, Yan Lu

Self-attention has been successfully applied to video representation learning due to the effectiveness of modeling long range dependencies. Existing approaches build the dependenci…