15 citations · 29 across the 25 of their papers we have counts for
8 papers · 1 filter
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks
Anqi Zhao, Tong Chu, Yahao Liu +3
In this work, we study the black-box targeted attack problem from the model discrepancy perspective. On the theoretical side, we present a generalization error bound for black-box…
Motion and Appearance Adaptation for Cross-Domain Motion Transfer
Borun Xu, Biao Wang, Jinhong Deng +5
Motion transfer aims to transfer the motion of a driving video to a source image. When there are considerable differences between object in the driving video and that in the source…
Motion Transformer for Unsupervised Image Animation
Jiale Tao, Biao Wang, Tiezheng Ge +3
Image animation aims to animate a source image by using motion learned from a driving video. Current state-of-the-art methods typically use convolutional neural networks (CNNs) to…
Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment
Jinhong Deng, Xiaoyue Zhang, Wen Li +1
Detection transformers like DETR have recently shown promising performance on many object detection tasks, but the generalization ability of those methods is still quite challengin…
Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation
Yahao Liu, Jinhong Deng, Jiale Tao +3
Existing works typically treat cross-domain semantic segmentation (CDSS) as a data distribution mismatch problem and focus on aligning the marginal distribution or conditional dist…
Structure-Aware Motion Transfer with Deformable Anchor Model
Jiale Tao, Biao Wang, Borun Xu +4
Given a source image and a driving video depicting the same object type, the motion transfer task aims to generate a video by learning the motion from the driving video while prese…
Learning Pixel-Level Distinctions for Video Highlight Detection
Fanyue Wei, Biao Wang, Tiezheng Ge +3
The goal of video highlight detection is to select the most attractive segments from a long video to depict the most interesting parts of the video. Existing methods typically focu…
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
Yan Zhang, Changyu Li, Ivor W. Tsang +5
Cold-start issues have been more and more challenging for providing accurate recommendations with the fast increase of users and items. Most existing approaches attempt to solve th…