Yue Cao

InquireMobile: Teaching VLM-based Mobile Agent to Request Human Assistance via Reinforcement Fine-Tuning ACL 2026 Unified Thinker: A General Reasoning Core for Image Generation ACL 2026 CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation AAAI 2026 Mobile-R1: Towards Interactive Capability for VLM-Based Mobile Agent via Systematic Training ACL 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 Robust Noise Modeling for Spike Camera via Time-Interval Quantification and Spike-DSLR Multimodal Dataset in Low-Light Imaging 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 CapsFusion: Rethinking Image-Text Data at Scale CVPR 2024 IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks ICLR 2024 FedMut: Generalized Federated Learning via Stochastic Mutation AAAI 2024 Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography CVPR 2023 Images Speak in Images: A Generalist Painter for In-Context Visual Learning CVPR 2023 Revealing the Dark Secrets of Masked Image Modeling CVPR 2023 iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition CVPR 2023 Continual Learners are Incremental Model Generalizers ICML 2023 One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale ICML 2023 Revisiting Discriminative vs. Generative Classifiers: Theory and Implications ICML 2023 Improving CLIP Fine-tuning Performance ICCV 2023 Deep Incubation: Training Large Models by Divide-and-Conquering ICCV 2023 Lightweight Transformer for Multi-Modal Object Detection (Student Abstract) AAAI 2023 SegGPT: Towards Segmenting Everything in Context ICCV 2023 On Data Scaling in Masked Image Modeling CVPR 2023 All Are Worth Words: A ViT Backbone for Diffusion Models CVPR 2023 EVA: Exploring the Limits of Masked Visual Representation Learning at Scale CVPR 2023 SimMIM: A Simple Framework for Masked Image Modeling CVPR 2022 "A Simple Approach and Benchmark for 21,000-Category Object Detection" ECCV 2022 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 Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How ICLR 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 WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation IJCNLP 2021 Bootstrap Your Object Detector via Mixed Training NIPS 2021 WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation ACL 2021 Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning CVPR 2021 Cross-Iteration Batch Normalization CVPR 2021 ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation EACL 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 Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design ICML 2021 Continual Learning for Neural Machine Translation NAACL 2021 DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network EMNLP 2020 A Closer Look at Local Aggregation Operators in Point Cloud Analysis ECCV 2020 VL-BERT: Pre-training of Generic Visual-Linguistic Representations ICLR 2020 Disentangled Non-local Neural Networks ECCV 2020 Negative Margin Matters: Understanding Margin in Few-shot Classification ECCV 2020 Parametric Instance Classification for Unsupervised Visual Feature learning NIPS 2020 Unpaired Learning of Deep Image Denoising ECCV 2020 Memory Enhanced Global-Local Aggregation for Video Object Detection CVPR 2020 RepPoints v2: Verification Meets Regression for Object Detection NIPS 2020 Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization ACL 2020 MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization AAAI 2020 Spatial-Temporal Relation Networks for Multi-Object Tracking ICCV 2019 Maximum-Margin Hamming Hashing ICCV 2019 Learning to Optimize in Swarms NIPS 2019 Deep Cauchy Hashing for Hamming Space Retrieval CVPR 2018 Cross-Modal Hamming Hashing ECCV 2018 HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN CVPR 2018 Deep Visual-Semantic Quantization for Efficient Image Retrieval CVPR 2017 Learning Transferable Features with Deep Adaptation Networks ICML 2015