Zhipeng Zhou
18 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (42)
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Topic Evolution
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Century Club · Bronze
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Unstoppable · Bronze
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Prolific Year · Productive
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Research topics
Computer Vision
(12)
Machine Learning
(11)
Analysis
(11)
Deep Learning
(8)
Core Methods
(6)
Architectures
(5)
Learning Types · Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Learning Types · Deep Learning
(4)
Optimization & Theory · Deep Learning
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Learning Paradigms
(2)
Processing
(2)
Keywords
class imbalance
(3)
representation learning
(3)
3d reconstruction
(3)
multi-view stereo
(3)
semantic segmentation
(2)
unsupervised learning
(2)
3d point cloud
(2)
3d segmentation
(2)
point cloud
(2)
long-tailed recognition
(2)
depth estimation
(2)
pose estimation
(1)
vision transformer
(1)
face detection
(1)
domain adaptation
(1)
transfer learning
(1)
transformer architecture
(1)
self-attention mechanism
(1)
self-supervised learning
(1)
neural network training
(1)
Papers
PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
CVPR 2026
Injecting Imbalance Sensitivity for Multi-Task Learning
IJCAI 2025
Hybrid Directional Graph Neural Network for Molecules
ICLR 2024
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
ICLR 2024
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition
CVPR 2023
CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo
IJCAI 2023
COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport
CVPR 2023
PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-Modal Distillation and Super-Voxel Clustering
ICCV 2023
An Efficient Training Approach for Very Large Scale Face Recognition
CVPR 2022
MogFace: Towards a Deeper Appreciation on Face Detection
CVPR 2022
Scaled ReLU Matters for Training Vision Transformers
AAAI 2022
Digging Into Uncertainty in Self-Supervised Multi-View Stereo
ICCV 2021
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud
AAAI 2021
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
AAAI 2021
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
AAAI 2021
Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation
AAAI 2021
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
AAAI 2020
SmallBigNet: Integrating Core and Contextual Views for Video Classification
CVPR 2020