Yandong Li
23 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (49) π Academic Marathon (8) π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer
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Keyword Pioneer
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Grand Slam
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Topic Evolution
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Dynamic Duo
(12)
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Conference Pioneer
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Century Club
(23)
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Unstoppable
(9)
ποΈ
Keyword Collector
(98)
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Trend Setter
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The Questioner
Conferences
CVPR (9)
AAAI (3)
ICCV (3)
ICML (3)
ECCV (2)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
transfer learning
(4)
diffusion model
(4)
image generation
(3)
convolutional neural network
(3)
domain adaptation
(2)
action recognition
(2)
object detection
(2)
face restoration
(2)
neural network
(2)
model compression
(2)
adversarial attack
(2)
generative adversarial network
(2)
long-tailed distribution
(2)
model calibration
(1)
feature extraction
(1)
image restoration
(1)
few-shot learning
(1)
active learning
(1)
in-context learning
(1)
imitation learning
(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