Zeren Sun
14 papers · 2019–2026 · 5 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.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28)
🧬
Topic Evolution
🤝
Dynamic Duo
(14)
🗃️
Keyword Collector
(59)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
Top co-authors
Research topics
Machine Learning
(7)
Learning Types · Machine Learning
(7)
Computer Vision
(6)
Deep Learning
(5)
Learning Types · Deep Learning
(5)
Analysis
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Core AI · Artificial Intelligence
(2)
Healthcare & Medicine
(1)
Applications
(1)
Architectures
(1)
Clinical
(1)
Core AI · Computer Vision
(1)
Domain-Specific
(1)
Keywords
self-supervised learning
(3)
noisy label
(3)
robust learning
(3)
representation learning
(3)
webly supervised learning
(2)
consistency regularization
(2)
image classification
(2)
object detection
(1)
video understanding
(1)
multi-instance learning
(1)
monocular depth estimation
(1)
label disambiguation
(1)
remote sensing
(1)
graph attention
(1)
knowledge distillation
(1)
scene understanding
(1)
saliency detection
(1)
label noise
(1)
fine-grained recognition
(1)
partial label learning
(1)
Papers
Iris: Bringing Real-World Priors into Diffusion Model for Monocular Depth Estimation
CVPR 2026
Learning 3D Representations for Spatial Intelligence from Unposed Multi-View Images
CVPR 2026
MedFG-VQA: Low-Frequency Memory and Graph Attention for Lightweight Medical VQA
CVPR 2026
Revisiting Learning with Noisy Labels: Active Forgetting and Noise Suppression
CVPR 2026
CA2C: A Prior-Knowledge-Free Approach for Robust Label Noise Learning via Asymmetric Co-learning and Co-training
ICCV 2025
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning
AAAI 2024
Foster Adaptivity and Balance in Learning with Noisy Labels
ECCV 2024
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation
ECCV 2024
Poly Kernel Inception Network for Remote Sensing Detection
CVPR 2024
VideoMAC: Video Masked Autoencoders Meet ConvNets
CVPR 2024
PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction
CVPR 2022
Jo-SRC: A Contrastive Approach for Combating Noisy Labels
CVPR 2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach
ICCV 2021
Dynamically Visual Disambiguation of Keyword-based Image Search
IJCAI 2019