11 citations · 27 across the 12 of their papers we have counts for
12 papers
Deep Equilibrium Object Detection
Shuai Wang, Yao Teng, Limin Wang
Query-based object detectors directly decode image features into object instances with a set of learnable queries. These query vectors are progressively refined to stable meaningfu…
Transferring Foundation Models for Generalizable Robotic Manipulation
Jiange Yang, Wenhui Tan, Chuhao Jin +6
Improving the generalization capabilities of general-purpose robotic manipulation agents in the real world has long been a significant challenge. Existing approaches often rely on…
AlphaBlock: Embodied Finetuning for Vision-Language Reasoning in Robot Manipulation
Chuhao Jin, Wenhui Tan, Jiange Yang +4
We propose a novel framework for learning high-level cognitive capabilities in robot manipulation tasks, such as making a smiley face using building blocks. These tasks often invol…
StageInteractor: Query-based Object Detector with Cross-stage Interaction
Yao Teng, Haisong Liu, Sheng Guo +1
Previous object detectors make predictions based on dense grid points or numerous preset anchors. Most of these detectors are trained with one-to-many label assignment strategies.…
PDPP: Projected Diffusion for Procedure Planning in Instructional Videos
Hanlin Wang, Yilu Wu, Sheng Guo +1
In this paper, we study the problem of procedure planning in instructional videos, which aims to make a plan (i.e. a sequence of actions) given the current visual observation and t…
Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion
Haisong Liu, Tao Lu, Yihui Xu +2
In this paper, we study the problem of jointly estimating the optical flow and scene flow from synchronized 2D and 3D data. Previous methods either employ a complex pipeline that s…
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points
Jing Tan, Xiaotong Zhao, Xintian Shi +2
Traditional temporal action detection (TAD) usually handles untrimmed videos with small number of action instances from a single label (e.g., ActivityNet, THUMOS). However, this se…
Submission to Generic Event Boundary Detection Challenge@CVPR 2022: Local Context Modeling and Global Boundary Decoding Approach
Jiaqi Tang, Zhaoyang Liu, Jing Tan +3
Generic event boundary detection (GEBD) is an important yet challenging task in video understanding, which aims at detecting the moments where humans naturally perceive event bound…
Cross-Architecture Self-supervised Video Representation Learning
Sheng Guo, Zihua Xiong, Yujie Zhong +4
In this paper, we present a new cross-architecture contrastive learning (CACL) framework for self-supervised video representation learning. CACL consists of a 3D CNN and a video tr…
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification
Tao Lu, Chunxu Liu, Youxin Chen +2
Aggregating neighbor features is essential for point cloud classification. In the existing work, each point in the cloud may inevitably be selected as the neighbors of multiple agg…
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing
Haoyue Cheng, Zhaoyang Liu, Hang Zhou +3
This paper focuses on the weakly-supervised audio-visual video parsing task, which aims to recognize all events belonging to each modality and localize their temporal boundaries. T…
Logit Normalization for Long-tail Object Detection
Liang Zhao, Yao Teng, Limin Wang
Real-world data exhibiting skewed distributions pose a serious challenge to existing object detectors. Moreover, the samplers in detectors lead to shifted training label distributi…