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Thomas Brox

72 papers · 2013–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (95) 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (14) πŸ† Grand Slam πŸ† Keyword Champion (2) 🧬 Topic Evolution πŸ”¬ Deep Specialist (10) πŸ“ˆ Trend Setter πŸ’Ž Century Club (72) πŸ”₯ Unstoppable (13) ❓ The Questioner (3) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (235)

Conferences

ICCV (20) CVPR (18) ICLR (10) NIPS (8) ECCV (5) ICML (3) AAAI (2) CORL (2) WACV (2) AUTOML (1) CLEAR (1)

Top co-authors

Alexey Dosovitskiy (14) Eddy Ilg (8) Francesco Locatello (7) Tonmoy Saikia (6) Simon Schrodi (6) Bernt Schiele (6) Max Argus (6) Margret Keuper (6) Bernhard SchΓΆlkopf (5) Benjamin Ummenhofer (5)

Keywords

convolutional neural network (10) image classification (6) representation learning (5) 3d reconstruction (4) optical flow (4) generative model (4) video segmentation (4) unsupervised learning (4) neural network (3) self-supervised learning (3) semantic segmentation (3) optical flow estimation (3) object detection (3) convolutional network (3) autonomous driving (3) image generation (3) point cloud (3) domain generalization (3) adversarial robustness (2) contrastive learning (2)

Papers

SEED4D: A Synthetic Ego-Exo Dynamic 4D Data Generator Driving Dataset and Benchmark WACV 2025
When and How Does CLIP Enable Domain and Compositional Generalization? ICML 2025
Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach ICLR 2025
Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models ICLR 2025
Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy ICLR 2024
Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching CORL 2024
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond ECCV 2024
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation CVPR 2024
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity ICLR 2024
Is Mamba Capable of In-Context Learning? AUTOML 2024
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems ICML 2024
Open-Vocabulary Attribute Detection CVPR 2023
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars NIPS 2023
Unsupervised Object Learning via Common Fate CLEAR 2023
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations ICLR 2023
Bridging the Gap to Real-World Object-Centric Learning ICLR 2023
Unsupervised Open-Vocabulary Object Localization in Videos ICCV 2023
Object-Centric Multiple Object Tracking ICCV 2023
Towards Total Recall in Industrial Anomaly Detection CVPR 2022
Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives AAAI 2022
Towards Understanding Adversarial Robustness of Optical Flow Networks CVPR 2022
Assaying Out-Of-Distribution Generalization in Transfer Learning NIPS 2022
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction ICLR 2022
Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors CVPR 2021
Explicitly Modeled Attention Maps for Image Classification AAAI 2021
CrossCLR: Cross-Modal Contrastive Learning for Multi-Modal Video Representations ICCV 2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors ICCV 2021
Improving Robustness Against Common Corruptions With Frequency Biased Models ICCV 2021
Temporal Shift GAN for Large Scale Video Generation WACV 2021
Understanding and Robustifying Differentiable Architecture Search ICLR 2020
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior CVPR 2020
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning NIPS 2020
SELF: Learning to Filter Noisy Labels with Self-Ensembling ICLR 2020
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision NIPS 2019
What Do Single-View 3D Reconstruction Networks Learn? CVPR 2019
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction CVPR 2019
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth CVPR 2019
Anomaly Detection With Multiple-Hypotheses Predictions ICML 2019
Defending Against Universal Perturbations With Shared Adversarial Training ICCV 2019
AutoDispNet: Improving Disparity Estimation With AutoML ICCV 2019
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images ICCV 2019
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation ECCV 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow ECCV 2018
DeepTAM: Deep Tracking and Mapping ECCV 2018
ECO: Efficient Convolutional Network for Online Video Understanding ECCV 2018
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning ICLR 2018
Motion Perception in Reinforcement Learning with Dynamic Objects CORL 2018
Chained Multi-Stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection ICCV 2017
Learning to Estimate 3D Hand Pose From Single RGB Images ICCV 2017
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications CVPR 2017
FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks CVPR 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo CVPR 2017
Octree Generating Networks: Efficient Convolutional Architectures for High-Resolution 3D Outputs ICCV 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation ICCV 2017
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images NIPS 2016
Inverting Visual Representations With Convolutional Networks CVPR 2016
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation CVPR 2016
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks NIPS 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks NIPS 2016
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts ICCV 2015
Learning to Generate Chairs With Convolutional Neural Networks CVPR 2015
Unsupervised Generation of a Viewpoint Annotated Car Dataset From Videos ICCV 2015
Motion Trajectory Segmentation via Minimum Cost Multicuts ICCV 2015
Video Segmentation With Just a Few Strokes ICCV 2015
FlowNet: Learning Optical Flow With Convolutional Networks ICCV 2015
Global, Dense Multiscale Reconstruction for a Billion Points ICCV 2015
Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation CVPR 2014
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks NIPS 2014
Point-Based 3D Reconstruction of Thin Objects ICCV 2013
Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF) CVPR 2013
An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision CVPR 2013
A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis ICCV 2013