Wei Zhan
32 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (13)
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Conference Polyglot
(9)
🏃
Academic Marathon
(5)
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Dynamic Duo
(31)
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Unstoppable
(6)
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Century Club
(32)
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Prolific Year
(7)
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Keyword Collector
(91)
Conferences
ECCV (7)
CORL (5)
CVPR (5)
ICCV (4)
ICLR (4)
NIPS (4)
AISTATS (1)
ICML (1)
RSS (1)
Top co-authors
Keywords
trajectory prediction
(3)
autonomous driving
(3)
sparse representation
(2)
autonomous vehicle
(2)
object detection
(2)
offline reinforcement learning
(2)
annotation budget
(2)
active learning
(2)
3d object detection
(2)
3d gaussian splatting
(2)
motion estimation
(2)
feature extraction
(1)
semi-supervised learning
(1)
motion planning
(1)
transfer learning
(1)
variational inference
(1)
image classification
(1)
cross-modal learning
(1)
point cloud
(1)
robotic manipulation
(1)
Papers
Residual-MPPI: Online Policy Customization for Continuous Control
ICLR 2025
WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving
ICML 2025
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
CORL 2025
X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
ICLR 2025
LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
ICCV 2025
DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes
CVPR 2025
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians
CVPR 2025
DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation
CVPR 2025
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
ICLR 2024
Human-oriented Representation Learning for Robotic Manipulation
RSS 2024
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach
AISTATS 2024
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
CORL 2024
Safe-Sim: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries
ECCV 2024
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
ECCV 2024
Q-SLAM: Quadric Representations for Monocular SLAM
CORL 2024
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection
ICCV 2023
DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds
ICCV 2023
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
ICLR 2023
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
CVPR 2023
Towards Free Data Selection with General-Purpose Models
NIPS 2023
Doubly-Robust Self-Training
NIPS 2023
Residual Q-Learning: Offline and Online Policy Customization without Value
NIPS 2023
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection
ICCV 2023
DetMatch: Two Teachers Are Better than One for Joint 2D and 3D Semi-Supervised Object Detection
ECCV 2022
What Matters for 3D Scene Flow Network
ECCV 2022
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models
ECCV 2022
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
ECCV 2022
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
NIPS 2021
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals
CVPR 2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
CORL 2021
Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views
CORL 2021
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
ECCV 2020