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Yandong Li

23 papers · 2017–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸ—ΊοΈ Taxonomy Completionist (49) πŸƒ Academic Marathon (8) 🌍 Conference Polyglot (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (12) πŸš€ Conference Pioneer πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (98) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

CVPR (9) AAAI (3) ICCV (3) ICML (3) ECCV (2) NIPS (2) ICLR (1)

Papers

Scaling Inference Time Compute for Diffusion Models CVPR 2025 Epsilon-VAE: Denoising as Visual Decoding ICML 2025 OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities ICLR 2025 Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models CVPR 2024 Instruct-Imagen: Image Generation with Multi-modal Instruction CVPR 2024 RoboDreamer: Learning Compositional World Models for Robot Imagination ICML 2024 Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond ICCV 2023 Train-Once-for-All Personalization CVPR 2023 Subject-driven Text-to-Image Generation via Apprenticeship Learning NIPS 2023 Rethinking Deep Face Restoration CVPR 2022 MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection ICCV 2021 On Model Calibration for Long-Tailed Object Detection and Instance Segmentation NIPS 2021 Ranking Neural Checkpoints CVPR 2021 MoViNets: Mobile Video Networks for Efficient Video Recognition CVPR 2021 BachGAN: High-Resolution Image Synthesis From Salient Object Layout CVPR 2020 Improving Object Detection with Selective Self-Supervised Self-Training ECCV 2020 AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning AAAI 2020 Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model CVPR 2020 StNet: Local and Global Spatial-Temporal Modeling for Action Recognition AAAI 2019 Depthwise Convolution Is All You Need for Learning Multiple Visual Domains AAAI 2019 NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks ICML 2019 How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization ECCV 2018 VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation ICCV 2017