output
20072025
most citedDeep Subdomain Adaptation Network for Image Classification

1.2k citations

Showing 2023Show all

18 papers · 1 filter

cs.CV202311 cited

SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection

Pengfei Zhou, Weiqing Min, Yang Zhang +3

Food detection is becoming a fundamental task in food computing that supports various multimedia applications, including food recommendation and dietary monitoring. To deal with re…

cs.LG202313 cited

Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer

Wendong Bi, Xueqi Cheng, Bingbing Xu +3

The data-hungry problem, characterized by insufficiency and low-quality of data, poses obstacles for deep learning models. Transfer learning has been a feasible way to transfer kno…

cs.CV202338 cited

End-to-end Alternating Optimization for Real-World Blind Super Resolution

Zhengxiong Luo, Yan Huang, Shang Li +2

Blind Super-Resolution (SR) usually involves two sub-problems: 1) estimating the degradation of the given low-resolution (LR) image; 2) super-resolving the LR image to its high-res…

cs.RO20239 cited

Freespace Optical Flow Modeling for Automated Driving

Yi Feng, Ruge Zhang, Jiayuan Du +2

Optical flow and disparity are two informative visual features for autonomous driving perception. They have been used for a variety of applications, such as obstacle and lane detec…

cs.SI20232 cited

What makes a successful rebuttal in computer science conferences? : A perspective on social interaction

Junjie Huang, Win-bin Huang, Yi Bu +3

With an exponential increase in submissions to top-tier Computer Science (CS) conferences, more and more conferences have introduced a rebuttal stage to the conference peer review…

cs.GR202315 cited

Pose-aware Attention Network for Flexible Motion Retargeting by Body Part

Lei Hu, Zihao Zhang, Chongyang Zhong +2

Motion retargeting is a fundamental problem in computer graphics and computer vision. Existing approaches usually have many strict requirements, such as the source-target skeletons…