Publications (13)
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
Youmin Zhang, Yimin Chen, Xiao Bai +4
State-of-the-art deep learning based stereo matching approaches treat disparity estimation as a regression problem, where loss function is directly defined on true disparities and…
UESF-Bench: Benchmarking and Probing for Unified Embodied Seeking and Following
Kun Yu, Jianhua Yang, Yixiang Chen +7
The paper introduces UESF-Bench, a large-scale benchmark for unified embodied seeking and following of humans, and presents SeekFollow-VLA, a vision‑language‑action framework that…
Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition
Yimu Wang, Kun Yu, Yan Wang +1
As a fundamental problem in ubiquitous computing and machine learning, sensor-based human activity recognition (HAR) has drawn extensive attention and made great progress in recent…
Solution for Point Tracking Task of ECCV 2nd Perception Test Challenge 2024
Yuxuan Zhang, Pengsong Niu, Kun Yu +2
This report introduces an improved method for the Tracking Any Point~(TAP), focusing on monitoring physical surfaces in video footage. Despite their success with short-sequence sce…
Approximate Nearest Neighbor Search of Large Scale Vectors on Distributed Storage
Kun Yu, Jiabao Jin, Xiaoyao Zhong +6
Approximate Nearest Neighbor Search (ANNS) in high-dimensional space is an essential operator in many online services, such as information retrieval and recommendation. Indices con…
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Chang Shu, Kun Yu, Zhixiang Duan +1
Photometric loss is widely used for self-supervised depth and egomotion estimation. However, the loss landscapes induced by photometric differences are often problematic for optimi…