8 citations · 17 across the 4 of their papers we have counts for
14 papers
3D-Aware Encoding for Style-based Neural Radiance Fields
Yu-Jhe Li, Tao Xu, Bichen Wu +6
We tackle the task of NeRF inversion for style-based neural radiance fields, (e.g., StyleNeRF). In the task, we aim to learn an inversion function to project an input image to the…
Wide-Baseline Multi-Camera Calibration using Person Re-Identification
Yan Xu, Yu-Jhe Li, Xinshuo Weng +1
We address the problem of estimating the 3D pose of a network of cameras for large-environment wide-baseline scenarios, e.g., cameras for construction sites, sports stadiums, and p…
Semantics-Guided Representation Learning with Applications to Visual Synthesis
Jia-Wei Yan, Ci-Siang Lin, Fu-En Yang +2
Learning interpretable and interpolatable latent representations has been an emerging research direction, allowing researchers to understand and utilize the derived latent space fo…
Semantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification
Chih-Ting Liu, Yu-Jhe Li, Shao-Yi Chien +1
Person re-identification (re-ID) requires one to match images of the same person across camera views. As a more challenging task, semi-supervised re-ID tackles the problem that onl…
Transforming Multi-Concept Attention into Video Summarization
Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang
Video summarization is among challenging tasks in computer vision, which aims at identifying highlight frames or shots over a lengthy video input. In this paper, we propose an nove…
Learning Shape Representations for Clothing Variations in Person Re-Identification
Yu-Jhe Li, Zhengyi Luo, Xinshuo Weng +1
Person re-identification (re-ID) aims to recognize instances of the same person contained in multiple images taken across different cameras. Existing methods for re-ID tend to rely…