Jian Pu
14 papers · 2013–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (24) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9)
π
Academic Marathon
(12)
π
Cross-Pollinator
(13)
ποΈ
Keyword Collector
(65)
π
Century Club
(13)
π
Conference Pioneer
Conferences
AAAI (5)
IJCAI (2)
CORL (1)
CVPR (1)
ECCV (1)
ICCV (1)
ICLR (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
knowledge distillation
(3)
bird's eye view
(2)
graph neural network
(2)
depth estimation
(2)
multi-task learning
(2)
attention mechanism
(2)
monocular 3d object detection
(2)
ensemble learning
(1)
uncertainty modeling
(1)
semantic segmentation
(1)
self-supervised learning
(1)
knowledge transfer
(1)
graph representation learning
(1)
multi-view fusion
(1)
domain generalization
(1)
monocular depth estimation
(1)
object detection
(1)
autonomous driving
(1)
sensor fusion
(1)
pose estimation
(1)
Papers
Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous Driving
AAAI 2026
PC-BEV: An Efficient Polar-Cartesian BEV Fusion Framework for LiDAR Semantic Segmentation
AAAI 2025
Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs
ICLR 2025
Dark-ISP: Enhancing RAW Image Processing for Low-Light Object Detection
ICCV 2025
Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation
ECCV 2024
FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection
AAAI 2024
Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs
NIPS 2024
A Robust Diffusion Modeling Framework for Radar Camera 3D Object Detection
WACV 2024
Attention-Based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection
AAAI 2023
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention
IJCAI 2023
From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
CVPR 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
CORL 2023
The Kelly Growth Optimal Portfolio with Ensemble Learning
AAAI 2019
Multiple Task Learning Using Iteratively Reweighted Least Square
IJCAI 2013