618 citations · 813 across the 8 of their papers we have counts for
8 papers
GLRD: Global-Local Collaborative Reason and Debate with PSL for 3D Open-Vocabulary Detection
Xingyu Peng, Si Liu, Chen Gao +4
The task of LiDAR-based 3D Open-Vocabulary Detection (3D OVD) requires the detector to learn to detect novel objects from point clouds without off-the-shelf training labels. Previo…
Target-Driven Structured Transformer Planner for Vision-Language Navigation
Yusheng Zhao, Jinyu Chen, Chen Gao +5
Vision-language navigation is the task of directing an embodied agent to navigate in 3D scenes with natural language instructions. For the agent, inferring the long-term navigation…
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection
Junyu Luo, Jiahui Fu, Xianghao Kong +5
3D visual grounding aims to locate the referred target object in 3D point cloud scenes according to a free-form language description. Previous methods mostly follow a two-stage par…
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
Xiangxiang Chu, Zhi Tian, Yuqing Wang +5
Very recently, a variety of vision transformer architectures for dense prediction tasks have been proposed and they show that the design of spatial attention is critical to their s…
End-to-End Video Instance Segmentation with Transformers
Yuqing Wang, Zhaoliang Xu, Xinlong Wang +4
Video instance segmentation (VIS) is the task that requires simultaneously classifying, segmenting and tracking object instances of interest in video. Recent methods typically deve…
Robust Trajectory Forecasting for Multiple Intelligent Agents in Dynamic Scene
Yanliang Zhu, Dongchun Ren, Mingyu Fan +3
Trajectory forecasting, or trajectory prediction, of multiple interacting agents in dynamic scenes, is an important problem for many applications, such as robotic systems and auton…
VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving
Yanliang Zhu, Deheng Qian, Dongchun Ren +1
The comprehension of environmental traffic situation largely ensures the driving safety of autonomous vehicles. Recently, the mission has been investigated by plenty of researches,…
StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology
Yanliang Zhu, Deheng Qian, Dongchun Ren +1
Pedestrian trajectory prediction is crucial for many important applications. This problem is a great challenge because of complicated interactions among pedestrians. Previous metho…