10 citations · 20 across the 7 of their papers we have counts for
14 papers
Interactive Object Segmentation with Dynamic Click Transform
Chun-Tse Lin, Wei-Chih Tu, Chih-Ting Liu +1
In the interactive segmentation, users initially click on the target object to segment the main body and then provide corrections on mislabeled regions to iteratively refine the se…
Hard Samples Rectification for Unsupervised Cross-domain Person Re-identification
Chih-Ting Liu, Man-Yu Lee, Tsai-Shien Chen +1
Person re-identification (re-ID) has received great success with the supervised learning methods. However, the task of unsupervised cross-domain re-ID is still challenging. In this…
Video-based Person Re-identification without Bells and Whistles
Chih-Ting Liu, Jun-Cheng Chen, Chu-Song Chen +1
Video-based person re-identification (Re-ID) aims at matching the video tracklets with cropped video frames for identifying the pedestrians under different cameras. However, there…
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs
Jan P. Klopp, Keng-Chi Liu, Liang-Gee Chen +1
Lossy image compression is often limited by the simplicity of the chosen loss measure. Recent research suggests that generative adversarial networks have the ability to overcome th…
Viewpoint-Aware Channel-Wise Attentive Network for Vehicle Re-Identification
Tsai-Shien Chen, Man-Yu Lee, Chih-Ting Liu +1
Vehicle re-identification (re-ID) matches images of the same vehicle across different cameras. It is fundamentally challenging because the dramatically different appearance caused…
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Po-Hsiang Yu, Sih-Sian Wu, Jan P. Klopp +2
We investigate pruning and quantization for deep neural networks. Our goal is to achieve extremely high sparsity for quantized networks to enable implementation on low cost and low…