← Authors

Alan Yuille

144 papers · 2013–2026 · 17 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (17) πŸ—ΊοΈ Taxonomy Completionist (128) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (13) 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (23) 🀝 Dynamic Duo (29) πŸ‘₯ Mega-Team (25) πŸ”¬ Deep Specialist (17) πŸ‘‘ Triple Crown πŸ† Keyword Champion (3) πŸ† Grand Slam ❓ The Questioner (3) πŸ’Ž Century Club (144) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (399) πŸš€ Conference Pioneer ⚑ Prolific Year (16)

Conferences

CVPR (38) ECCV (27) ICCV (23) ICLR (18) WACV (12) AAAI (6) ICML (5) NIPS (3) IJCAI (2) MICCAI (2) MIDL (2) EMNLP (1) EACL (1) CORL (1) JMLR (1) NAACL (1) RSS (1)

Top co-authors

Adam Kortylewski (29) Cihang Xie (23) Angtian Wang (19) Zongwei Zhou (15) Wufei Ma (14) Siyuan Qiao (13) Huiyu Wang (13) Wei Shen (12) Qihang Yu (12) Jieru Mei (11)

Research topics

Techniques (1)

Keywords

object detection (15) semantic segmentation (12) 3d reconstruction (10) contrastive learning (8) medical imaging (7) instance segmentation (7) diffusion model (6) pose estimation (6) 3d vision (6) image classification (6) transfer learning (6) visual question answering (5) vision transformer (5) vision-language model (5) self-supervised learning (4) representation learning (4) convolutional neural network (4) autonomous driving (4) video understanding (4) generative model (4)

Papers

4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos WACV 2026
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering ICLR 2025
GenEx: Generating an Explorable World ICLR 2025
Autoregressive Pretraining with Mamba in Vision ICLR 2025
EasyRet3D: Uncalibrated Multi-View Multi-Human 3D Reconstruction and Tracking WACV 2025
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation RSS 2025
Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More ICML 2025
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching ICML 2025
Medical World Model ICCV 2025
Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation ICCV 2025
3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark ICCV 2025
VideoAuteur: Towards Long Narrative Video Generation ICCV 2025
RadGPT: Constructing 3D Image-Text Tumor Datasets ICCV 2025
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data ICCV 2025
Mamba-Reg: Vision Mamba Also Needs Registers CVPR 2025
Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution CVPR 2025
Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency CVPR 2025
SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models CVPR 2025
Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Mutimodal Models CVPR 2025
Scaling 3D Compositional Models for Robust Classification and Pose Estimation ICCV 2025
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction ICCV 2025
Structure-Aware Sparse-View X-ray 3D Reconstruction CVPR 2024
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data CVPR 2024
Towards Generalizable Tumor Synthesis CVPR 2024
A Bayesian Approach to OOD Robustness in Image Classification CVPR 2024
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models CVPR 2024
De-Diffusion Makes Text a Strong Cross-Modal Interface CVPR 2024
Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models EACL 2024
Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis ECCV 2024
NOVUM: Neural Object Volumes for Robust Object Classification ECCV 2024
Efficient Large Multi-modal Models via Visual Context Compression NIPS 2024
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding NIPS 2024
Neural Textured Deformable Meshes for Robust Analysis-by-Synthesis WACV 2024
Robust Category-Level 3D Pose Estimation From Diffusion-Enhanced Synthetic Data WACV 2024
From Pixel to Cancer: Cellular Automata in Computed Tomography MICCAI 2024
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction AAAI 2024
Embracing Massive Medical Data MICCAI 2024
Rejuvenating image-GPT as Strong Visual Representation Learners ICML 2024
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? ICLR 2024
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search ICLR 2024
Generating Images with 3D Annotations Using Diffusion Models ICLR 2024
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation ICLR 2024
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting NIPS 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning ECCV 2024
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation ECCV 2024
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers ECCV 2024
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties ECCV 2024
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference ECCV 2024
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data ECCV 2024
ViTamin: Designing Scalable Vision Models in the Vision-Language Era CVPR 2024
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans ICCV 2023
3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation ICCV 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection ICCV 2023
Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape ICCV 2023
Diffusion Models as Masked Autoencoders ICCV 2023
SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-Training ICCV 2023
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models ICLR 2023
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks ICLR 2023
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis ICLR 2023
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning MIDL 2023
CoKe: Contrastive Learning for Robust Keypoint Detection WACV 2023
CORL: Compositional Representation Learning for Few-Shot Classification WACV 2023
Delving Into Masked Autoencoders for Multi-Label Thorax Disease Classification WACV 2023
Learning From Temporal Gradient for Semi-Supervised Action Recognition CVPR 2022
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation CVPR 2022
Masked Feature Prediction for Self-Supervised Visual Pre-Training CVPR 2022
A Simple Data Mixing Prior for Improving Self-Supervised Learning CVPR 2022
Context-Enhanced Stereo Transformer ECCV 2022
In Defense of Image Pre-training for Spatiotemporal Recognition ECCV 2022
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features ECCV 2022
TransMix: Attend To Mix for Vision Transformers CVPR 2022
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection CVPR 2022
Lite Vision Transformer With Enhanced Self-Attention CVPR 2022
Simulated Adversarial Testing of Face Recognition Models CVPR 2022
Point-Level Region Contrast for Object Detection Pre-Training CVPR 2022
Learning Part Segmentation Through Unsupervised Domain Adaptation From Synthetic Vehicles CVPR 2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images ECCV 2022
"PartImageNet: A Large, High-Quality Dataset of Parts" ECCV 2022
Explicit Occlusion Reasoning for Multi-Person 3D Human Pose Estimation ECCV 2022
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation MIDL 2022
In Defense of Online Models for Video Instance Segmentation ECCV 2022
Learning Road Scene-level Representations via Semantic Region Prediction CORL 2022
Image BERT Pre-training with Online Tokenizer ICLR 2022
k-Means Mask Transformer ECCV 2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation ECCV 2022
Coarse-to-Fine Incremental Few-Shot Learning ECCV 2022
Fast AdvProp ICLR 2022
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering CVPR 2022
Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model CVPR 2022
Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement CVPR 2021
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving ICCV 2021
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images ICCV 2021
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation ICCV 2021
Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency CVPR 2021
MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers CVPR 2021
Deeply Shape-Guided Cascade for Instance Segmentation CVPR 2021
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation ICLR 2021
CO2: Consistent Contrast for Unsupervised Visual Representation Learning ICLR 2021
Shape-Texture Debiased Neural Network Training ICLR 2021
Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion CVPR 2021
DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution CVPR 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning CVPR 2021
VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation CVPR 2021
Self-Supervised Pillar Motion Learning for Autonomous Driving CVPR 2021
Mask Guided Matting via Progressive Refinement Network CVPR 2021
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks AAAI 2021
DASZL: Dynamic Action Signatures for Zero-shot Learning AAAI 2021
When Radiology Report Generation Meets Knowledge Graph AAAI 2020
Resisting Large Data Variations via Introspective Transformation Network WACV 2020
Robust Face Detection via Learning Small Faces on Hard Images WACV 2020
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion WACV 2020
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation ECCV 2020
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots ECCV 2020
Learning Transferable Adversarial Examples via Ghost Networks AAAI 2020
Intriguing Properties of Adversarial Training at Scale ICLR 2020
AtomNAS: Fine-Grained End-to-End Neural Architecture Search ICLR 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning ECCV 2020
3D semi-supervised learning with uncertainty-aware multi-view co-training WACV 2020
Identifying Model Weakness with Adversarial Examiner AAAI 2020
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans ECCV 2020
Adversarial Examples for Edge Detection: They Exist, and they Transfer WACV 2020
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses ECCV 2020
Are Labels Necessary for Neural Architecture Search? ECCV 2020
Scene Graph Parsing as Dependency Parsing NAACL 2018
Progressive Neural Architecture Search ECCV 2018
Weakly Supervised Region Proposal Network and Object Detection ECCV 2018
Mitigating Adversarial Effects Through Randomization ICLR 2018
Deep Co-Training for Semi-Supervised Image Recognition ECCV 2018
Gradually Updated Neural Networks for Large-Scale Image Recognition ICML 2018
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution EMNLP 2018
Multi-Stage Multi-Recursive-Input Fully Convolutional Networks for Neuronal Boundary Detection ICCV 2017
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond ICCV 2017
Genetic CNN ICCV 2017
SORT: Second-Order Response Transform for Visual Recognition ICCV 2017
Recurrent Multimodal Interaction for Referring Image Segmentation ICCV 2017
Object Recognition with and without Objects IJCAI 2017
MAT: A Multimodal Attentive Translator for Image Captioning IJCAI 2017
Adversarial Examples for Semantic Segmentation and Object Detection ICCV 2017
Complexity of Representation and Inference in Compositional Models with Part Sharing JMLR 2016
Learning Deep Structured Models ICML 2015
The Role of Context for Object Detection and Semantic Segmentation in the Wild CVPR 2014
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts CVPR 2014
Bottom-Up Segmentation for Top-Down Detection CVPR 2013
Boundary Detection Benchmarking: Beyond F-Measures CVPR 2013