Bingchen Zhao

Orcid: 0000-0001-8385-2310

According to our database1, Bingchen Zhao authored at least 47 papers between 2012 and 2024.

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Bibliography

2024
OOD-CV-v2 : An Extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability.
CoRR, 2024

CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions.
CoRR, 2024

AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation.
CoRR, 2024

A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?
CoRR, 2024

Contextuality Helps Representation Learning for Generalized Category Discovery.
CoRR, 2024

Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning.
CoRR, 2024

What If We Recaption Billions of Web Images with LLaMA-3?
CoRR, 2024

Generalization Beyond Data Imbalance: A Controlled Study on CLIP for Transferable Insights.
CoRR, 2024

HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing.
CoRR, 2024

Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery.
CoRR, 2024

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.
CoRR, 2024

AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability.
CoRR, 2024

Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Debiased Prototypical Learning Improves Generalized Category Discovery.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Labeled Data Selection for Category Discovery.
Proceedings of the Computer Vision - ECCV 2024, 2024

A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties.
Proceedings of the Computer Vision - ECCV 2024, 2024

How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs.
Proceedings of the Computer Vision - ECCV 2024, 2024

PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery.
Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond the Known: Novel Class Discovery for Open-World Graph Learning.
Proceedings of the Database Systems for Advanced Applications, 2024

What If the TV was off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Compress & Align: Curating Image-Text Data with Human Knowledge.
CoRR, 2023

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs.
CoRR, 2023

Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics.
CoRR, 2023

Vision Learners Meet Web Image-Text Pairs.
CoRR, 2023

What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Incremental Generalized Category Discovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Parametric Classification for Generalized Category Discovery: A Baseline Study.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
One Venue, Two Conferences: The Separation of Chinese and American Citation Networks.
CoRR, 2022

A Simple Parametric Classification Baseline for Generalized Category Discovery.
CoRR, 2022

Self-Supervised Visual Representation Learning with Semantic Grouping.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.
Proceedings of the Computer Vision - ECCV 2022, 2022

Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective.
Proceedings of the Computer Vision - ECCV 2022, 2022

XCon: Learning with Experts for Fine-grained Category Discovery.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts.
CoRR, 2021

Rail-5k: a Real-World Dataset for Rail Surface Defects Detection.
CoRR, 2021

Temporal Context Aggregation for Video Retrieval with Contrastive Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Contrastive Learning by Visualizing Feature Transformation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Context Encoding for Video Retrieval with Contrastive Learning.
CoRR, 2020

Distilling Visual Priors from Self-Supervised Learning.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Reducing the feature divergence of RGB and near-infrared images using Switchable Normalization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


Characterizing Robotic and Organic Query in SPARQL Search Sessions.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2012
The Hardware Solution of a New Image Processing Algorithm.
Int. J. Adv. Pervasive Ubiquitous Comput., 2012


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