James Tu
11 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze
π€
Dynamic Duo
(11)
π§
Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(54)
Top co-authors
Research topics
Artificial Intelligence
(10)
Core AI
(10)
Machine Learning
(7)
Learning Types Β· Machine Learning
(5)
Computer Vision
(4)
Domain-Specific
(4)
Analysis
(3)
Reinforcement Learning
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
Keywords
traffic simulation
(2)
multi-agent communication
(2)
closed-loop simulation
(2)
adversarial attack
(2)
lidar perception
(2)
self-driving vehicle
(2)
object detection
(1)
pose estimation
(1)
adversarial robustness
(1)
adversarial training
(1)
gaussian process
(1)
fault tolerance
(1)
trajectory prediction
(1)
autonomous vehicle
(1)
domain adaptation
(1)
latency reduction
(1)
multimodal fusion
(1)
point cloud
(1)
3d perception
(1)
vision foundation model
(1)
Papers
FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection
CoRL 2025
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation
CoRL 2023
Learning Realistic Traffic Agents in Closed-loop
CoRL 2023
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation
CVPR 2023
Towards Scalable Coverage-Based Testing of Autonomous Vehicles
CoRL 2023
Adversarial Attacks on Multi-Agent Communication
ICCV 2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles
CVPR 2021
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving
CoRL 2021
Learning to Communicate and Correct Pose Errors
CoRL 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection
CVPR 2020
StrObe: Streaming Object Detection from LiDAR Packets
CoRL 2020