323 citations · 2.1k across the 141 of their papers we have counts for
7 papers · 1 filter
Amalgamating Knowledge towards Comprehensive Classification
Chengchao Shen, Xinchao Wang, Jie Song +2
With the rapid development of deep learning, there have been an unprecedentedly large number of trained deep network models available online. Reusing such trained models can signif…
Wide Activation for Efficient and Accurate Image Super-Resolution
Jiahui Yu, Yuchen Fan, Jianchao Yang +4
In this report we demonstrate that with same parameters and computational budgets, models with wider features before ReLU activation have significantly better performance for singl…
Dual Swap Disentangling
Zunlei Feng, Xinchao Wang, Chenglong Ke +3
Learning interpretable disentangled representations is a crucial yet challenging task. In this paper, we propose a weakly semi-supervised method, termed as Dual Swap Disentangling…
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks
Fusheng Hao, Jun Cheng, Lei Wang +4
Discriminative features are critical for machine learning applications. Most existing deep learning approaches, however, rely on convolutional neural networks (CNNs) for learning f…
Deep Motion Boundary Detection
Xiaoqing Yin, Xiyang Dai, Xinchao Wang +3
Motion boundary detection is a crucial yet challenging problem. Prior methods focus on analyzing the gradients and distributions of optical flow fields, or use hand-crafted feature…
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification
Xiaoqing Yin, Xinchao Wang, Jun Yu +3
Images captured by fisheye lenses violate the pinhole camera assumption and suffer from distortions. Rectification of fisheye images is therefore a crucial preprocessing step for m…
Horizontal Pyramid Matching for Person Re-identification
Yang Fu, Yunchao Wei, Yuqian Zhou +5
Despite the remarkable recent progress, person re-identification (Re-ID) approaches are still suffering from the failure cases where the discriminative body parts are missing. To m…