zhipeng cai
24 papers · 2018–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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🗺️ Taxonomy Completionist (47) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(15)
Computer Vision
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Deep Learning
(9)
Analysis
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Learning Types · Machine Learning
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Artificial Intelligence
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Application Areas
(6)
Core AI
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(4)
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Keywords
continual learning
(4)
diffusion model
(3)
depth estimation
(3)
online learning
(2)
zero-shot generalization
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semantic segmentation
(2)
neural radiance field
(2)
knowledge distillation
(2)
multimodal large language model
(2)
video question answering
(2)
novel view synthesis
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event camera
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computer vision
(1)
domain adaptation
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domain generalization
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reinforcement learning
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representation learning
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image generation
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self-supervised learning
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contrastive learning
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Papers
EgoAVU: Egocentric Audio-Visual Understanding
CVPR 2026
OmniEvent: Unified Event Representation Learning
AAAI 2026
VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice
CVPR 2026
ConDo: Continual Domain Expansion for Absolute Pose Regression
AAAI 2025
How Distributed Collaboration Influences the Diffusion Model Training? A Theoretical Perspective
ICML 2025
MonSter: Marry Monodepth to Stereo Unleashes Power
CVPR 2025
Evaluation of Test-Time Adaptation Under Computational Time Constraints
ICML 2024
GIM: Learning Generalizable Image Matcher From Internet Videos
ICLR 2024
LiSA: LiDAR Localization with Semantic Awareness
CVPR 2024
L-MAGIC: Language Model Assisted Generation of Images with Coherence
CVPR 2024
MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs
NeurIPS 2024
RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning
NAACL 2024
SimCS: Simulation for Domain Incremental Online Continual Segmentation
AAAI 2024
Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover
NeurIPS 2024
CLNeRF: Continual Learning Meets NeRF
ICCV 2023
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
NeurIPS 2023
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
NeurIPS 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
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
Deterministic Consensus Maximization with Biconvex Programming
ECCV 2018
Robust fitting in computer vision: easy or hard?
ECCV 2018