activity
20182023
most citedDeep Texture-Aware Features for Camouflaged Object Detection

32 citations · 98 across the 19 of their papers we have counts for

collaborators

19 papers

cs.RO2023★ 1 cited

AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild

Hongjie Fang, Hao-Shu Fang, Yiming Wang +5

While humans can use parts of their arms other than the hands for manipulations like gathering and supporting, whether robots can effectively learn and perform the same type of ope…

cs.CV2023

CRIN: Rotation-Invariant Point Cloud Analysis and Rotation Estimation via Centrifugal Reference Frame

Yujing Lou, Zelin Ye, Yang You +5

Various recent methods attempt to implement rotation-invariant 3D deep learning by replacing the input coordinates of points with relative distances and angles. Due to the incomple…

cs.CV2022

One-Shot General Object Localization

Yang You, Zhuochen Miao, Kai Xiong +2

This paper presents a general one-shot object localization algorithm called OneLoc. Current one-shot object localization or detection methods either rely on a slow exhaustive featu…

cs.CV2022★ 2 cited

CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild

Yang You, Ruoxi Shi, Weiming Wang +1

In this paper, we tackle the problem of category-level 9D pose estimation in the wild, given a single RGB-D frame. Using supervised data of real-world 9D poses is tedious and erron…

cs.CV2021★ 2 cited

Understanding Pixel-level 2D Image Semantics with 3D Keypoint Knowledge Engine

Yang You, Chengkun Li, Yujing Lou +5

Pixel-level 2D object semantic understanding is an important topic in computer vision and could help machine deeply understand objects (e.g. functionality and affordance) in our da…

cs.CV2021★ 32 cited

Deep Texture-Aware Features for Camouflaged Object Detection

Jingjing Ren, Xiaowei Hu, Lei Zhu +5

Camouflaged object detection is a challenging task that aims to identify objects having similar texture to the surroundings. This paper presents to amplify the subtle texture diffe…