← Authors

Anton van den Hengel

103 papers · 2012–2026 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (7) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (178) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (14) πŸƒ Academic Marathon (13) 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (60) 🀝 Dynamic Duo (44) πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (16) πŸ† Keyword Champion ⚑ Prolific Year (14) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ❓ The Questioner (4) πŸ”₯ Unstoppable (14) πŸ—ƒοΈ Keyword Collector (436) πŸ’Ž Century Club (102)

Conferences

CVPR (60) ICCV (14) NIPS (7) ECCV (6) ICLR (5) AAAI (2) EACL (2) MICCAI (2) WACV (2) ICML (1) IJCAI (1) JMLR (1)

Top co-authors

Chunhua Shen (44) Qi Wu (16) Lingqiao Liu (16) Damien Teney (15) Ehsan Abbasnejad (14) Qinfeng Shi (13) Peng Wang (12) Yuankai Qi (10) Dong Gong (10) Anthony Dick (9)

Research topics

Core AI (1)

Keywords

visual question answering (16) multimodal learning (8) convolutional neural network (8) representation learning (7) attention mechanism (6) image classification (6) visual grounding (4) reinforcement learning (4) object detection (4) semantic segmentation (4) bayesian inference (4) conditional random field (4) knowledge base (4) visual navigation (3) domain generalization (3) visual reasoning (3) deep learning (3) active learning (3) vision-language navigation (3) domain adaptation (3)

Papers

The Devil is in the Distributions: Explicit Modeling of Scene Content is Key in Zero-Shot Video Captioning EACL 2026
RandLoRA: Full rank parameter-efficient fine-tuning of large models ICLR 2025
Open-World Objectness Modeling Unifies Novel Object Detection CVPR 2025
Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering CVPR 2025
Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product ICCV 2025
Seeing the Trees for the Forest: Rethinking Weakly-Supervised Medical Visual Grounding ICCV 2025
Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models ICCV 2025
Interactive Medical Image Analysis with Concept-based Similarity Reasoning CVPR 2025
Prosody-Enhanced Acoustic Pre-training and Acoustic-Disentangled Prosody Adapting for Movie Dubbing CVPR 2025
EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing CVPR 2025
PedCLIP: A Vision-Language model for Pediatric X-rays with Mixture of Body part Experts MICCAI 2025
Separation of Powers: On Segregating Knowledge from Observation in LLM-enabled Knowledge-based Visual Question Answering CVPR 2025
Primitive Vision: Improving Diagram Understanding in MLLMs ICML 2025
Analytic DAG Constraints for Differentiable DAG Learning ICLR 2025
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling ICLR 2025
Weakly Supervised Video Individual Counting CVPR 2024
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling NIPS 2024
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling AAAI 2024
LipAT: Beyond Style Transfer for Controllable Neural Simulation of Lipstick Using Cosmetic Attributes WACV 2024
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis MICCAI 2024
Improving the Convergence of Dynamic NeRFs via Optimal Transport ICLR 2024
Identifiable Latent Polynomial Causal Models through the Lens of Change ICLR 2024
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation CVPR 2024
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising CVPR 2024
Distributionally Robust Bayesian Optimization with $\varphi$-divergences NIPS 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning NIPS 2023
Domain Generalization via Rationale Invariance ICCV 2023
Knowledge Combination To Learn Rotated Detection Without Rotated Annotation CVPR 2023
Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups ICCV 2023
Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems CVPR 2023
Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 2022
Active Learning by Feature Mixing CVPR 2022
Retrieval Augmented Classification for Long-Tail Visual Recognition CVPR 2022
Poseur: Direct Human Pose Regression with Transformers ECCV 2022
ForeSI: Success-Aware Visual Navigation Agent WACV 2022
PointInst3D: Segmenting 3D Instances by Points ECCV 2022
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022
DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution CVPR 2021
Unshuffling Data for Improved Generalization in Visual Question Answering ICCV 2021
The Road To Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation ICCV 2021
Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge EACL 2021
Memory-Augmented Dynamic Neural Relational Inference ICCV 2021
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments CVPR 2020
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law NIPS 2020
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen NIPS 2020
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices AAAI 2020
Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning CVPR 2020
Counterfactual Vision and Language Learning CVPR 2020
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering CVPR 2020
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection CVPR 2020
Object-and-Action Aware Model for Visual Language Navigation ECCV 2020
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision ECCV 2020
Attention-Guided Network for Ghost-Free High Dynamic Range Imaging CVPR 2019
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection ICCV 2019
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019
Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks CVPR 2019
A Generative Adversarial Density Estimator CVPR 2019
Visual Question Answering as Reading Comprehension CVPR 2019
Actively Seeking and Learning From Live Data CVPR 2019
Parallel Attention: A Unified Framework for Visual Object Discovery Through Dialogs and Queries CVPR 2018
Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge CVPR 2018
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments CVPR 2018
Visual Question Answering as a Meta Learning Task ECCV 2018
Goal-Oriented Visual Question Generation via Intermediate Rewards ECCV 2018
Visual Question Answering With Memory-Augmented Networks CVPR 2018
Are You Talking to Me? Reasoned Visual Dialog Generation Through Adversarial Learning CVPR 2018
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions CVPR 2017
Graph-Structured Representations for Visual Question Answering CVPR 2017
Self-Paced Kernel Estimation for Robust Blind Image Deblurring ICCV 2017
Explicit Knowledge-based Reasoning for Visual Question Answering IJCAI 2017
When Unsupervised Domain Adaptation Meets Tensor Representations ICCV 2017
Infinite Variational Autoencoder for Semi-Supervised Learning CVPR 2017
Multi-Attention Network for One Shot Learning CVPR 2017
From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur CVPR 2017
Sequential Person Recognition in Photo Albums With a Recurrent Network CVPR 2017
What's Wrong With That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution CVPR 2016
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization CVPR 2016
Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge From External Sources CVPR 2016
Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation CVPR 2016
Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression CVPR 2016
Blind Image Deconvolution by Automatic Gradient Activation CVPR 2016
Pairwise Matching Through Max-Weight Bipartite Belief Propagation CVPR 2016
What Value Do Explicit High Level Concepts Have in Vision to Language Problems? CVPR 2016
Part-Based Modelling of Compound Scenes From Images CVPR 2015
Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs CVPR 2015
Mid-Level Deep Pattern Mining CVPR 2015
The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification CVPR 2015
Deeply Learning the Messages in Message Passing Inference NIPS 2015
Learning Graph Structure for Multi-Label Image Classification via Clique Generation CVPR 2015
Efficient SDP Inference for Fully-Connected CRFs Based on Low-Rank Decomposition CVPR 2015
Robust Multiple Homography Estimation: An Ill-Solved Problem CVPR 2015
Learning to Rank in Person Re-Identification With Metric Ensembles CVPR 2015
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors NIPS 2014
Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014
Part-Based Visual Tracking with Online Latent Structural Learning CVPR 2013
Learning Compact Binary Codes for Visual Tracking CVPR 2013
A Fast Semidefinite Approach to Solving Binary Quadratic Problems CVPR 2013
Contextual Hypergraph Modeling for Salient Object Detection ICCV 2013
Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs CVPR 2013
Inductive Hashing on Manifolds CVPR 2013
A General Two-Step Approach to Learning-Based Hashing ICCV 2013
Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve ICCV 2013
Positive Semidefinite Metric Learning Using Boosting-like Algorithms JMLR 2012