90 citations · 678 across the 49 of their papers we have counts for
14 papers · 1 filter
AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking
Xinshuo Weng, Kris Kitani
3D multi-object tracking is an important component in robotic perception systems such as self-driving vehicles. Recent work follows a tracking-by-detection pipeline, which aims to…
Rethinking Transformer-based Set Prediction for Object Detection
Zhiqing Sun, Shengcao Cao, Yiming Yang +1
DETR is a recently proposed Transformer-based method which views object detection as a set prediction problem and achieves state-of-the-art performance but demands extra-long train…
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
Akiyoshi Kurobe, Yoshikatsu Nakajima, Hideo Saito +1
The ability to both recognize and discover terrain characteristics is an important function required for many autonomous ground robots such as social robots, assistive robots, auto…
End-to-End 3D Multi-Object Tracking and Trajectory Forecasting
Xinshuo Weng, Ye Yuan, Kris Kitani
3D multi-object tracking (MOT) and trajectory forecasting are two critical components in modern 3D perception systems. We hypothesize that it is beneficial to unify both tasks unde…
Few-Shot Learning with Intra-Class Knowledge Transfer
Vivek Roy, Yan Xu, Yu-Xiong Wang +3
We consider the few-shot classification task with an unbalanced dataset, in which some classes have sufficient training samples while other classes only have limited training sampl…
Graph Neural Networks for 3D Multi-Object Tracking
Xinshuo Weng, Yongxin Wang, Yunze Man +1
3D Multi-object tracking (MOT) is crucial to autonomous systems. Recent work often uses a tracking-by-detection pipeline, where the feature of each object is extracted independentl…
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
Xinshuo Weng, Jianren Wang, David Held +1
3D multi-object tracking (MOT) is essential to applications such as autonomous driving. Recent work focuses on developing accurate systems giving less attention to computational co…
Efficient Non-Line-of-Sight Imaging from Transient Sinograms
Mariko Isogawa, Dorian Chan, Ye Yuan +2
Non-line-of-sight (NLOS) imaging techniques use light that diffusely reflects off of visible surfaces (e.g., walls) to see around corners. One approach involves using pulsed lasers…
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning
Qiqi Xiao, Jiaxu Zou, Muqiao Yang +5
Diabetic Retinopathy (DR) is a leading cause of blindness in working age adults. DR lesions can be challenging to identify in fundus images, and automatic DR detection systems can…
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
Xinshuo Weng, Yongxin Wang, Yunze Man +1
3D Multi-object tracking (MOT) is crucial to autonomous systems. Recent work uses a standard tracking-by-detection pipeline, where feature extraction is first performed independent…
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning
S. Alireza Golestaneh, Kris Kitani
Blind or no-reference image quality assessment (NR-IQA) is a fundamental, unsolved, and yet challenging problem due to the unavailability of a reference image. It is vital to the s…
Joint Object Detection and Multi-Object Tracking with Graph Neural Networks
Yongxin Wang, Kris Kitani, Xinshuo Weng
Object detection and data association are critical components in multi-object tracking (MOT) systems. Despite the fact that the two components are dependent on each other, prior wo…
When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous
Xi Sun, Xinshuo Weng, Kris Kitani
We aim to enable robots to visually localize a target person through the aid of an additional sensing modality -- the target person's 3D inertial measurements. The need for such te…
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
Ye Yuan, Kris Kitani
Reinforcement learning has shown great promise for synthesizing realistic human behaviors by learning humanoid control policies from motion capture data. However, it is still very…