Martial Hebert

Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models ICLR 2025 ReferEverything: Towards Segmenting Everything We Can Speak of in Videos ICCV 2025 Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding NeurIPS 2024 Beyond RGB: Scene-Property Synthesis With Neural Radiance Fields WACV 2023 Multi-task View Synthesis with Neural Radiance Fields ICCV 2023 Object Discovery From Motion-Guided Tokens CVPR 2023 Approximate Differentiable Rendering with Algebraic Surfaces ECCV 2022 Deep Projective Rotation Estimation through Relative Supervision CoRL 2022 Discovering Objects That Can Move CVPR 2022 Generative Modeling for Multi-task Visual Learning ICML 2022 Learning Continuous Implicit Representation for Near-Periodic Patterns ECCV 2022 Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis ICLR 2021 Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021 Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions WACV 2020 A Structured Model for Action Detection CVPR 2019 Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry CVPR 2019 Image Deformation Meta-Networks for One-Shot Learning CVPR 2019 Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing AAAI 2019 Learning Compositional Representations for Few-Shot Recognition ICCV 2019 Meta-Learning to Detect Rare Objects ICCV 2019 Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds CVPR 2019 Deep Material-Aware Cross-Spectral Stereo Matching CVPR 2018 Learning by Asking Questions CVPR 2018 Low-Shot Learning From Imaginary Data CVPR 2018 Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection ICCV 2017 From Red Wine to Red Tomato: Composition With Context CVPR 2017 General Models for Rational Cameras and the Case of Two-Slit Projections CVPR 2017 Gradient Boosting on Stochastic Data Streams AISTATS 2017 Growing a Brain: Fine-Tuning by Increasing Model Capacity CVPR 2017 Learning to Model the Tail NeurIPS 2017 Predictive-State Decoders: Encoding the Future into Recurrent Networks NeurIPS 2017 The Pose Knows: Video Forecasting by Generating Pose Futures ICCV 2017 Consistency of Silhouettes and Their Duals CVPR 2016 Cross-Stitch Networks for Multi-Task Learning CVPR 2016 Inference Machines for Nonparametric Filter Learning IJCAI 2016 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NeurIPS 2016 Autonomy Infused Teleoperation with Application to BCI Manipulation RSS 2015 Dense Optical Flow Prediction From a Static Image ICCV 2015 Inferring 3D Layout of Building Facades From a Single Image CVPR 2015 Model Recommendation: Generating Object Detectors From Few Samples CVPR 2015 Predicting Multiple Structured Visual Interpretations ICCV 2015 Single Image 3D Without a Single 3D Image ICCV 2015 The Joint Image Handbook ICCV 2015 Watch and Learn: Semi-Supervised Learning for Object Detectors From Video CVPR 2015 Patch to the Future: Unsupervised Visual Prediction CVPR 2014 Predicting Failures of Vision Systems CVPR 2014 Trinocular Geometry Revisited CVPR 2014 3DNN: Viewpoint Invariant 3D Geometry Matching for Scene Understanding ICCV 2013 Data-Driven 3D Primitives for Single Image Understanding ICCV 2013 Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time ICCV 2013 Contextual Sequence Prediction with Application to Control Library Optimization RSS 2012 Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces NeurIPS 2010 An Integer Projected Fixed Point Method for Graph Matching and MAP Inference NeurIPS 2009 Active Learning For Outdoor Obstacle Detection RSS 2005 Data Structure for Efficient Processing in 3-D RSS 2005 Inverse Optimal Heuristic Control for Imitation Learning AISTATS 2005