zhipeng cai
22 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (12)
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
π
Cross-Pollinator
(12)
π
Grand Slam
π
Triple Crown
β
The Questioner
(2)
π
Century Club
(21)
π
Conference Pioneer
ποΈ
Keyword Collector
(92)
β‘
Prolific Year
(5)
Conferences
AAAI (4)
ICCV (4)
NIPS (4)
CVPR (3)
ECCV (3)
ICML (2)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
continual learning
(4)
depth estimation
(3)
semantic segmentation
(2)
knowledge distillation
(2)
neural radiance field
(2)
diffusion model
(2)
event camera
(2)
zero-shot generalization
(2)
novel view synthesis
(2)
online learning
(2)
catastrophic forgetting
(1)
neuromorphic computing
(1)
gradient-based optimization
(1)
point cloud registration
(1)
computer vision
(1)
representation learning
(1)
domain adaptation
(1)
distributed learning
(1)
contrastive learning
(1)
attention mechanism
(1)
Papers
OmniEvent: Unified Event Representation Learning
AAAI 2026
How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective
ICML 2025
ConDo: Continual Domain Expansion for Absolute Pose Regression
AAAI 2025
MonSter: Marry Monodepth to Stereo Unleashes Power
CVPR 2025
MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs
NIPS 2024
SimCS: Simulation for Domain Incremental Online Continual Segmentation
AAAI 2024
Evaluation of Test-Time Adaptation Under Computational Time Constraints
ICML 2024
L-MAGIC: Language Model Assisted Generation of Images with Coherence
CVPR 2024
LiSA: LiDAR Localization with Semantic Awareness
CVPR 2024
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
NAACL 2024
GIM: Learning Generalizable Image Matcher From Internet Videos
ICLR 2024
Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
NIPS 2024
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
NIPS 2023
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
NIPS 2023
Federated Generative Model on Multi-Source Heterogeneous Data in IoT
AAAI 2023
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image
ICCV 2023
CLNeRF: Continual Learning Meets NeRF
ICCV 2023
Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data
ICCV 2021
Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World
ECCV 2020
Consensus Maximization Tree Search Revisited
ICCV 2019
Robust fitting in computer vision: easy or hard?
ECCV 2018
Deterministic Consensus Maximization with Biconvex Programming
ECCV 2018