Jiachen Li
21
Papers
71
Total Citations
1
Affiliations
Affiliations
University of California, Santa Barbara
Papers (21)
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
ICLR 2025arXiv
34
citations
Reward Guided Latent Consistency Distillation
ICLR 2025
23
citations
UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving
ICCV 2025arXiv
13
citations
RDD: Retrieval-Based Demonstration Decomposer for Planner Alignment in Long-Horizon Tasks
NeurIPS 2025arXiv
1
citations
Prior-free 3D Object Tracking
CVPR 2025
0
citations
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
CVPR 2025
0
citations
Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes
ICCV 2025arXiv
0
citations
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
ICML 2024arXiv
0
citations
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
CVPR 2021
0
citations
Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint
CVPR 2022
0
citations
BCOT: A Markerless High-Precision 3D Object Tracking Benchmark
CVPR 2022arXiv
0
citations
Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation
CVPR 2022
0
citations
OneFormer: One Transformer To Rule Universal Image Segmentation
CVPR 2023arXiv
0
citations
Neighborhood Attention Transformer
CVPR 2023arXiv
0
citations
LOKI: Long Term and Key Intentions for Trajectory Prediction
ICCV 2021arXiv
0
citations
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
ICCV 2021arXiv
0
citations
Point-to-Box Network for Accurate Object Detection via Single Point Supervision
ECCV 2022
0
citations
Multi-task Batch Reinforcement Learning with Metric Learning
NeurIPS 2020arXiv
0
citations
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
NeurIPS 2020arXiv
0
citations
Interaction Modeling with Multiplex Attention
NeurIPS 2022arXiv
0
citations
Learning Physical Dynamics with Subequivariant Graph Neural Networks
NeurIPS 2022arXiv
0
citations