Bingchen Zhao
23 papers · 2021–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5)
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(35)
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Conferences
ECCV (6)
ICCV (6)
NIPS (3)
CVPR (2)
ICLR (2)
ICML (2)
NAACL (1)
WACV (1)
Top co-authors
Keywords
contrastive learning
(5)
representation learning
(4)
semi-supervised learning
(3)
transfer learning
(2)
vision-language model
(2)
self-supervised learning
(2)
category discovery
(2)
large language model
(2)
question answering
(1)
knowledge distillation
(1)
principal component analysis
(1)
visual question answering
(1)
visual representation
(1)
unsupervised feature learning
(1)
prototype learning
(1)
video retrieval
(1)
multi-modal learning
(1)
object detection
(1)
image reconstruction
(1)
incremental learning
(1)
Papers
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability
NAACL 2025
A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning
CVPR 2025
What If We Recaption Billions of Web Images with LLaMA-3?
ICML 2025
HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing
ICLR 2025
"Principal Components" Enable A New Language of Images
ICCV 2025
Oasis: One Image is All You Need for Multimodal Instruction Data Synthesis
ICCV 2025
Labeled Data Selection for Category Discovery
ECCV 2024
Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations
ICML 2024
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
NIPS 2024
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
CVPR 2024
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery
ECCV 2024
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties
ECCV 2024
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs
ECCV 2024
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
ICLR 2024
Incremental Generalized Category Discovery
ICCV 2023
Parametric Classification for Generalized Category Discovery: A Baseline Study
ICCV 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
ICCV 2023
Self-Supervised Visual Representation Learning with Semantic Grouping
NIPS 2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
ECCV 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
ECCV 2022
Temporal Context Aggregation for Video Retrieval With Contrastive Learning
WACV 2021
Improving Contrastive Learning by Visualizing Feature Transformation
ICCV 2021
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
NIPS 2021