297 citations · 832 across the 37 of their papers we have counts for
9 papers · 1 filter
Learning Physical Dynamics with Subequivariant Graph Neural Networks
Jiaqi Han, Wenbing Huang, Hengbo Ma +3
Graph Neural Networks (GNNs) have become a prevailing tool for learning physical dynamics. However, they still encounter several challenges: 1) Physical laws abide by symmetry, whi…
DRAMA: Joint Risk Localization and Captioning in Driving
Srikanth Malla, Chiho Choi, Isht Dwivedi +2
Considering the functionality of situational awareness in safety-critical automation systems, the perception of risk in driving scenes and its explainability is of particular impor…
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li +1
Detection and segmentation of moving obstacles, along with prediction of the future occupancy states of the local environment, are essential for autonomous vehicles to proactively…
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction
Jiachen Li, Chuanbo Hua, Jinkyoo Park +3
While the modeling of pair-wise relations has been widely studied in multi-agent interacting systems, its ability to capture higher-level and larger-scale group-wise activities is…
Interaction Modeling with Multiplex Attention
Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang +4
Modeling multi-agent systems requires understanding how agents interact. Such systems are often difficult to model because they can involve a variety of types of interactions that…
Symbolic Expression Transformer: A Computer Vision Approach for Symbolic Regression
Jiachen Li, Ye Yuan, Hong-Bin Shen
Symbolic Regression (SR) is a type of regression analysis to automatically find the mathematical expression that best fits the data. Currently, SR still basically relies on various…
ConvNeXt-backbone HoVerNet for nuclei segmentation and classification
Jiachen Li, Chixin Wang, Banban Huang +1
This manuscript gives a brief description of the algorithm used to participate in CoNIC Challenge 2022. After the baseline was made available, we follow the method in it and replac…
Important Object Identification with Semi-Supervised Learning for Autonomous Driving
Jiachen Li, Haiming Gang, Hengbo Ma +2
Accurate identification of important objects in the scene is a prerequisite for safe and high-quality decision making and motion planning of intelligent agents (e.g., autonomous ve…
Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-identification
Menglin Wang, Jiachen Li, Baisheng Lai +2
Recently, unsupervised person re-identification (Re-ID) has received increasing research attention due to its potential for label-free applications. A promising way to address unsu…