← Authors

Yue Cao

62 papers · 2015–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (99) 🏠 Conference Loyalist (21) 🧬 Topic Evolution πŸ† Grand Slam 🀝 Dynamic Duo (21) πŸ”¬ Deep Specialist (11) ❓ The Questioner ⚑ Prolific Year (9) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (236) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (58)

Conferences

CVPR (21) AAAI (7) ECCV (7) ICCV (7) ICML (5) NIPS (5) ICLR (3) ACL (2) EMNLP (2) EACL (1) IJCNLP (1) NAACL (1)

Top co-authors

Han Hu (21) Zheng Zhang (20) Yutong Lin (11) Stephen Lin (8) Zhenda Xie (8) Xiaojun Wan (8) Mingsheng Long (7) Yixuan Wei (6) Jianmin Wang (6) Ze Liu (6)

Research topics

Core AI (1)

Keywords

object detection (11) transfer learning (9) vision transformer (6) masked image modeling (6) representation learning (6) semantic segmentation (5) image classification (5) self-supervised learning (5) binary code (4) image retrieval (4) multi-modal learning (4) contrastive learning (3) diffusion model (3) paraphrase generation (3) continual learning (2) text generation (2) metric learning (2) in-context learning (2) multimodal learning (2) image generation (2)

Papers

CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation AAAI 2026
Robust Noise Modeling for Spike Camera via Time-Interval Quantification and Spike-DSLR Multimodal Dataset in Low-Light Imaging AAAI 2026
MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents AAAI 2026
Automatic Translational Correction of Multi-View Coronary Angiography Based on Auto-Annotation Data Generation AAAI 2026
Learning Physics-Based Full-Body Human Reaching and Grasping from Brief Walking References CVPR 2025
SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments CVPR 2025
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks ICLR 2024
CapsFusion: Rethinking Image-Text Data at Scale CVPR 2024
FedMut: Generalized Federated Learning via Stochastic Mutation AAAI 2024
Deep Incubation: Training Large Models by Divide-and-Conquering ICCV 2023
SegGPT: Towards Segmenting Everything in Context ICCV 2023
Lightweight Transformer for Multi-Modal Object Detection (Student Abstract) AAAI 2023
On Data Scaling in Masked Image Modeling CVPR 2023
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale CVPR 2023
All Are Worth Words: A ViT Backbone for Diffusion Models CVPR 2023
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography CVPR 2023
Revealing the Dark Secrets of Masked Image Modeling CVPR 2023
Images Speak in Images: A Generalist Painter for In-Context Visual Learning CVPR 2023
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition CVPR 2023
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications ICML 2023
Continual Learners are Incremental Model Generalizers ICML 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale ICML 2023
Improving CLIP Fine-tuning Performance ICCV 2023
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model ECCV 2022
Could Giant Pre-trained Image Models Extract Universal Representations? NIPS 2022
Swin Transformer V2: Scaling Up Capacity and Resolution CVPR 2022
SimMIM: A Simple Framework for Masked Image Modeling CVPR 2022
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment CVPR 2022
Correlation-Aware Deep Tracking CVPR 2022
Video Swin Transformer CVPR 2022
"A Simple Approach and Benchmark for 21,000-Category Object Detection" ECCV 2022
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How ICLR 2022
WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation IJCNLP 2021
Bootstrap Your Object Detector via Mixed Training NIPS 2021
Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot EMNLP 2021
Group-Free 3D Object Detection via Transformers ICCV 2021
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows ICCV 2021
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning CVPR 2021
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation EACL 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design ICML 2021
Cross-Iteration Batch Normalization CVPR 2021
WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation ACL 2021
Continual Learning for Neural Machine Translation NAACL 2021
RepPoints v2: Verification Meets Regression for Object Detection NIPS 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification ECCV 2020
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization ACL 2020
Memory Enhanced Global-Local Aggregation for Video Object Detection CVPR 2020
MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization AAAI 2020
Unpaired Learning of Deep Image Denoising ECCV 2020
Disentangled Non-local Neural Networks ECCV 2020
A Closer Look at Local Aggregation Operators in Point Cloud Analysis ECCV 2020
Parametric Instance Classification for Unsupervised Visual Feature learning NIPS 2020
DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network EMNLP 2020
VL-BERT: Pre-training of Generic Visual-Linguistic Representations ICLR 2020
Maximum-Margin Hamming Hashing ICCV 2019
Learning to Optimize in Swarms NIPS 2019
Spatial-Temporal Relation Networks for Multi-Object Tracking ICCV 2019
HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN CVPR 2018
Cross-Modal Hamming Hashing ECCV 2018
Deep Cauchy Hashing for Hamming Space Retrieval CVPR 2018
Deep Visual-Semantic Quantization for Efficient Image Retrieval CVPR 2017
Learning Transferable Features with Deep Adaptation Networks ICML 2015