Mathieu Salzmann
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Why Is Mathieu Salzmann Influential?
(Suggest an Edit or Addition)Mathieu Salzmann's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Unsupervised Domain Adaptation by Domain Invariant Projection (2013) (409)
- Deep Subspace Clustering Networks (2017) (359)
- Beyond Sharing Weights for Deep Domain Adaptation (2016) (356)
- Learning the Number of Neurons in Deep Networks (2016) (351)
- Discrete-Continuous Depth Estimation from a Single Image (2014) (341)
- Learning to Find Good Correspondences (2017) (336)
- Context-Aware Crowd Counting (2018) (329)
- Evaluating the Search Phase of Neural Architecture Search (2019) (286)
- Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices (2013) (280)
- Structured Prediction of 3D Human Pose with Deep Neural Networks (2016) (235)
- Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation (2016) (213)
- Learning Trajectory Dependencies for Human Motion Prediction (2019) (212)
- Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation (2018) (198)
- Learning cross-modality similarity for multinomial data (2011) (195)
- Factorized Latent Spaces with Structured Sparsity (2010) (192)
- Learning Monocular 3D Human Pose Estimation from Multi-view Images (2018) (187)
- Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels (2014) (184)
- From Manifold to Manifold: Geometry-Aware Dimensionality Reduction for SPD Matrices (2014) (181)
- Segmentation-Driven 6D Object Pose Estimation (2018) (178)
- Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods (2016) (150)
- Surface Deformation Models for Nonrigid 3D Shape Recovery (2007) (149)
- Encouraging LSTMs to Anticipate Actions Very Early (2017) (149)
- Convex Optimization for Deformable Surface 3-D Tracking (2007) (148)
- Compression-aware Training of Deep Networks (2017) (145)
- Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation (2016) (130)
- Local deformation models for monocular 3D shape recovery (2008) (127)
- Boundary-Aware Instance Segmentation (2016) (126)
- Effective Use of Synthetic Data for Urban Scene Semantic Segmentation (2018) (124)
- Efficient dense subspace clustering (2014) (123)
- Linear Local Models for Monocular Reconstruction of Deformable Surfaces (2011) (123)
- Domain Adaptation on the Statistical Manifold (2014) (120)
- History Repeats Itself: Human Motion Prediction via Motion Attention (2020) (119)
- Closed-Form Solution to Non-rigid 3D Surface Registration (2008) (118)
- Imposing Hard Constraints on Deep Networks: Promises and Limitations (2017) (109)
- Template-free monocular reconstruction of deformable surfaces (2009) (109)
- Bregman Divergences for Infinite Dimensional Covariance Matrices (2014) (106)
- Factorized Orthogonal Latent Spaces (2010) (106)
- Single-Stage 6D Object Pose Estimation (2019) (105)
- Indoor scene structure analysis for single image depth estimation (2015) (103)
- GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping (2018) (96)
- Reconstructing sharply folding surfaces: A convex formulation (2009) (96)
- Riemannian coding and dictionary learning: Kernels to the rescue (2015) (94)
- A Family of MCMC Methods on Implicitly Defined Manifolds (2012) (93)
- Expanding the Family of Grassmannian Kernels: An Embedding Perspective (2014) (87)
- Detecting the Unexpected via Image Resynthesis (2019) (82)
- A constrained latent variable model (2012) (79)
- Distribution-Matching Embedding for Visual Domain Adaptation (2016) (79)
- Recurrent U-Net for Resource-Constrained Segmentation (2019) (71)
- A Stochastic Conditioning Scheme for Diverse Human Motion Prediction (2020) (69)
- Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction (2010) (67)
- Learning Latent Representations of 3D Human Pose with Deep Neural Networks (2018) (66)
- Shape Interaction Matrix Revisited and Robustified: Efficient Subspace Clustering with Corrupted and Incomplete Data (2015) (66)
- Capturing 3D stretchable surfaces from single images in closed form (2009) (64)
- Deep Convolutional Neural Networks for Human Embryonic Cell Counting (2016) (62)
- Geometry-Aware Deep Network for Single-Image Novel View Synthesis (2018) (57)
- Deformable Surface Tracking Ambiguities (2007) (53)
- Joint Dimensionality Reduction and Metric Learning: A Geometric Take (2017) (52)
- Residual Parameter Transfer for Deep Domain Adaptation (2017) (51)
- Non-associative Higher-Order Markov Networks for Point Cloud Classification (2014) (50)
- Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation (2010) (49)
- Second-order Convolutional Neural Networks (2017) (47)
- Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs (2015) (47)
- Monocular 3D Reconstruction of Locally Textured Surfaces (2012) (45)
- Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses (2018) (44)
- Deformable Surface 3D Reconstruction from Monocular Images (2010) (43)
- SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation (2021) (43)
- DUNIT: Detection-Based Unsupervised Image-to-Image Translation (2020) (41)
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them (2020) (40)
- Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking (2020) (40)
- ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks (2018) (38)
- Discriminative Non-Linear Stationary Subspace Analysis for Video Classification (2014) (37)
- Mirror Surface Reconstruction from a Single Image (2015) (37)
- Statistically Motivated Second Order Pooling (2018) (37)
- Physically-based motion models for 3D tracking: A convex formulation (2011) (37)
- Neural Scene Decomposition for Multi-Person Motion Capture (2019) (36)
- Learning Factorized Representations for Open-set Domain Adaptation (2018) (36)
- Robust Motion Segmentation with Unknown Correspondences (2014) (36)
- Optimizing over Radial Kernels on Compact Manifolds (2014) (35)
- Fusing 2D Uncertainty and 3D Cues for Monocular Body Pose Estimation (2016) (35)
- Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation (2017) (35)
- A domain-adaptive two-stream U-Net for electron microscopy image segmentation (2018) (35)
- Implicit Meshes for Effective Silhouette Handling (2007) (35)
- Physically Valid Shape Parameterization for Monocular 3-D Deformable Surface Tracking (2005) (33)
- Shape Reconstruction by Learning Differentiable Surface Representations (2019) (33)
- Learning to Reconstruct Texture-Less Deformable Surfaces from a Single View (2018) (32)
- Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation (2017) (32)
- Learning appearance models for road detection (2013) (31)
- A Framework for Shape Analysis via Hilbert Space Embedding (2013) (31)
- How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS (2020) (30)
- Backpropagation-Friendly Eigendecomposition (2019) (29)
- Learning to Recognize Objects from Unseen Modalities (2010) (29)
- Geometric and Physical Constraints for Drone-Based Head Plane Crowd Density Estimation (2018) (29)
- VIENA2: A Driving Anticipation Dataset (2018) (28)
- Indoor Scene Parsing with Instance Segmentation, Semantic Labeling and Support Relationship Inference (2017) (27)
- Generating Smooth Pose Sequences for Diverse Human Motion Prediction (2021) (27)
- Overcoming Multi-Model Forgetting (2019) (26)
- Learning Monocular 3 D Human Pose Estimation from Multiview Images (2018) (26)
- Shape-aware Instance Segmentation (2016) (26)
- Contextually Plausible and Diverse 3D Human Motion Prediction (2020) (26)
- Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition (2013) (25)
- Estimating People Flows to Better Count them in Crowded Scenes (2019) (25)
- 3D pose refinement from reflections (2008) (24)
- Multi-level Motion Attention for Human Motion Prediction (2021) (24)
- A Linear Chain Markov Model for Detection and Localization of Cells in Early Stage Embryo Development (2015) (23)
- Geometry-Aware Deep Recurrent Neural Networks for Hyperspectral Image Classification (2021) (22)
- Scalable Unsupervised Domain Adaptation for Electron Microscopy (2016) (22)
- Semantic labeling for prosthetic vision (2016) (21)
- Wide-Depth-Range 6D Object Pose Estimation in Space (2021) (21)
- A Multi-modal Graphical Model for Scene Analysis (2015) (21)
- Object Co-detection via Efficient Inference in a Fully-Connected CRF (2014) (20)
- Unsupervised Geometry-Aware Representation Learning for 3D Human Pose Estimation (2018) (20)
- Observable subspaces for 3D human motion recovery (2009) (20)
- GarNet++: Improving Fast and Accurate Static 3D Cloth Draping by Curvature Loss (2020) (20)
- Adaptive Low-Rank Kernel Subspace Clustering (2017) (19)
- Automated monitoring of human embryonic cells up to the 5-cell stage in time-lapse microscopy images (2015) (19)
- Building Scene Models by Completing and Hallucinating Depth and Semantics (2016) (18)
- Detecting Road Obstacles by Erasing Them (2020) (18)
- Segmentation of developing human embryo in time-lapse microscopy (2016) (18)
- Better Patch Stitching for Parametric Surface Reconstruction (2020) (18)
- Efficient Linear Programming for Dense CRFs (2016) (18)
- Indirect Local Attacks for Context-aware Semantic Segmentation Networks (2019) (17)
- Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions (2022) (17)
- Continuous Inference in Graphical Models with Polynomial Energies (2013) (16)
- Deformable 3D Fusion: From Partial Dynamic 3D Observations to Complete 4D Models (2015) (16)
- Iteratively reweighted graph cut for multi-label MRFs with non-convex priors (2014) (15)
- Counting People by Estimating People Flows (2020) (15)
- Robust Multi-Body Feature Tracker: A Segmentation-Free Approach (2016) (15)
- Large-scale semantic co-labeling of image sets (2014) (15)
- Motion Prediction Using Temporal Inception Module (2020) (15)
- Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering (2015) (15)
- Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction (2012) (14)
- Learning to Co-Generate Object Proposals with a Deep Structured Network (2016) (14)
- Progressive Correspondence Pruning by Consensus Learning (2021) (14)
- MuIT: An End-to-End Multitask Learning Transformer (2022) (14)
- ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture (2019) (14)
- Template-Free 3D Reconstruction of Poorly-Textured Nonrigid Surfaces (2016) (14)
- PCLs: Geometry-aware Neural Reconstruction of 3D Pose with Perspective Crop Layers (2020) (13)
- Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search (2021) (12)
- Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems (2020) (12)
- Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings (2020) (11)
- Deep Attentional Structured Representation Learning for Visual Recognition (2018) (11)
- Robust Differentiable SVD (2021) (11)
- Visual Correspondences for Unsupervised Domain Adaptation on Electron Microscopy Images (2020) (11)
- Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation (2016) (11)
- Nonrigid Surface Registration and Completion from RGBD Images (2014) (11)
- Adversarial Parametric Pose Prior (2021) (10)
- Learning 3D-3D Correspondences for One-shot Partial-to-partial Registration (2020) (10)
- Geometric and Physical Constraints for Head Plane Crowd Density Estimation in Videos (2018) (10)
- Non-Linear Stationary Subspace Analysis with Application to Video Classification (2013) (10)
- Domain Adaptive Multibranch Networks (2020) (10)
- Low-Rank Kernel Subspace Clustering (2017) (10)
- Learning and recovering 3D surface deformations (2009) (9)
- Memory Efficient Max Flow for Multi-label Submodular MRFs (2017) (9)
- Learning Transferable Adversarial Perturbations (2021) (9)
- Null space clustering with applications to motion segmentation and face clustering (2014) (9)
- Cutting Edge: Soft Correspondences in Multimodal Scene Parsing (2015) (9)
- Implicit surfaces make for better silhouettes (2005) (8)
- Learning Variations in Human Motion via Mix-and-Match Perturbation (2019) (8)
- Structural Kernel Learning for Large Scale Multiclass Object Co-detection (2015) (8)
- Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation (2018) (8)
- ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking (2020) (8)
- Dictionary Learning on Grassmann Manifolds (2016) (7)
- Learning to Segment 3D Linear Structures Using Only 2D Annotations (2018) (7)
- Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation (2022) (7)
- Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting (2019) (7)
- Mirror Surface Reconstruction from a Single Image (2013) (7)
- 3D Box Proposals From a Single Monocular Image of an Indoor Scene (2018) (6)
- Efficient scene parsing by sampling unary potentials in a fully-connected CRF (2015) (6)
- Robust RGB-based 6-DoF Pose Estimation without Real Pose Annotations (2020) (6)
- Data-driven road detection (2014) (6)
- Kernels on Riemannian Manifolds (2016) (6)
- Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy (2022) (6)
- Self-supervised Human Detection and Segmentation via Background Inpainting (2021) (5)
- Self-supervised Segmentation via Background Inpainting (2020) (5)
- Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development (2015) (5)
- Dyadic Human Motion Prediction (2021) (5)
- Efficient Relaxations for Dense CRFs with Sparse Higher Order Potentials (2018) (5)
- Towards Robust Fine-grained Recognition by Maximal Separation of Discriminative Features (2020) (4)
- Exploiting Large Image Sets for Road Scene Parsing (2016) (4)
- Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction (2020) (4)
- Least-Squares Minimization Under Constraints (2010) (4)
- Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases (2021) (4)
- 3D Morphing without User Interaction (2004) (4)
- Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects (2022) (4)
- Visual Domain Adaptation in the Deep Learning Era (2022) (4)
- Learning Domain Invariant Embeddings by Matching Distributions (2017) (4)
- Attention-based domain adaptation for single-stage detectors (2021) (4)
- Training Provably Robust Models by Polyhedral Envelope Regularization. (2019) (4)
- Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World (2022) (3)
- Structured Depth Prediction in Challenging Monocular Video Sequences (2015) (3)
- Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation (2020) (3)
- On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training (2021) (3)
- Distilling Image Classifiers in Object Detectors (2021) (3)
- Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers (2020) (3)
- Efficient Model-Free Anthropometry from Depth Data (2017) (3)
- Self-supervised Training of Proposal-based Segmentation via Background Prediction (2019) (3)
- Volumetric Transformer Networks (2020) (3)
- Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction (2022) (3)
- Sampling Good Latent Variables via CPP-VAEs: VAEs with Condition Posterior as Prior (2019) (3)
- Human Detection and Segmentation via Multi-view Consensus (2020) (3)
- Real-time keystone correction for hand-held projectors with an RGBD camera (2013) (3)
- 3D Pose Based Feedback for Physical Exercises (2022) (2)
- An Analysis of Super-Net Heuristics in Weight-Sharing NAS (2021) (2)
- Parameterizing Deformable Surfaces for Monocular 3--D Tracking (2005) (2)
- Mitigating Posterior Collapse in Strongly Conditioned Variational Autoencoders (2019) (2)
- Estimating Image Depth in the Comics Domain (2021) (2)
- ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture (2019) (2)
- SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation (2021) (2)
- Modeling Object Dissimilarity for Deep Saliency Prediction (2021) (2)
- 3D Registration for Self-Occluded Objects in Context (2020) (2)
- DrapeNet: Generating Garments and Draping them with Self-Supervision (2022) (2)
- ExpandNet: Training Compact Networks by Linear Expansion (2018) (2)
- Temporal Representation Learning on Monocular Videos for 3D Human Pose Estimation (2020) (2)
- Learning to Generate the Unknowns as a Remedy to the Open-Set Domain Shift (2022) (1)
- Encouraging LSTMs to Anticipate Actions Very Early Supplementary Material (2017) (1)
- Local Non-Rigid Structure-from-Motion from Locally Diffeomorphic Mappings (2020) (1)
- Learning Latent Representations of 3D Human Pose with Deep Neural Networks (2018) (1)
- CLIP the Gap: A Single Domain Generalization Approach for Object Detection (2023) (1)
- Long Term Motion Prediction Using Keyposes (2020) (1)
- Memory Efficient Max Flow for Multi-Label Submodular MRFs (2016) (1)
- Field Typing for Improved Recognition on Heterogeneous Handwritten Forms (2019) (1)
- AttEntropy: Segmenting Unknown Objects in Complex Scenes using the Spatial Attention Entropy of Semantic Segmentation Transformers (2022) (1)
- Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation (2018) (1)
- Efficient transductive semantic segmentation (2016) (1)
- Perspective Aware Road Obstacle Detection (2022) (1)
- Artificial Intelligence and Statistics Conference (2010) (1)
- Semantic-Aware Depth Super-Resolution in Outdoor Scenes (2016) (1)
- Center-aware Adversarial Augmentation for Single Domain Generalization (2023) (1)
- FOLS : Factorized Orthogonal Latent Spaces (2010) (1)
- DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows (2021) (1)
- Implicit Meshes Make for Better Silhouettes (2004) (1)
- When VLAD Met Hilbert (2015) (1)
- What Stops Learning-based 3D Registration from Working in the Real World? (2021) (0)
- A Constrained Combination of Discriminative and Generative Methods (2010) (0)
- GarNet : A Two-stream Network for Fast and Accurate 3 D Cloth Draping Supplementary Material (2018) (0)
- Supplementary Material: Non-Linear Stationary Subspace Analysis with Application to Video Classication (2012) (0)
- NOPE: Novel Object Pose Estimation from a Single Image (2023) (0)
- Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation (2023) (0)
- U-Net Compression Using Knowledge Distillation (2018) (0)
- Learning Shape-from-Shading for Deformable Surfaces (2018) (0)
- Improving the Robustness of Conditional Language Models by Detecting and Removing Input Noise (2022) (0)
- ExpandNets: Exploiting Linear Redundancy to Train Small Networks (2018) (0)
- MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency (2023) (0)
- Unsupervised Temporal Learning on Monocular Videos for 3D Human Pose Estimation Unsupervised Learning on Monocular Videos for 3D Human Pose Estimation — Supplementary Information (2022) (0)
- Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment (2022) (0)
- TempSAL - Uncovering Temporal Information for Deep Saliency Prediction (2023) (0)
- Soft Correspondences in Multimodal Scene Parsing (2017) (0)
- A Closed-Form Solution to Local Non-Rigid Structure-from-Motion (2020) (0)
- Boundary-aware Instance Segmentation : Detailed Comparisons with MNC on Pascal VOC 2012 (2017) (0)
- Contrastive Class-aware Adaptation for Domain Generalization (2022) (0)
- LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields (2023) (0)
- Temporally-Consistent Surface Reconstruction using Metrically-Consistent Atlases (2021) (0)
- LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation (2022) (0)
- Fast Adversarial Training with Adaptive Step Size (2022) (0)
- Efficient Linear Programming for Dense CRFs-Supplementary Material (2017) (0)
- Module-Wise Network Quantization for 6D Object Pose Estimation (2023) (0)
- Robust Binary Models by Pruning Randomly-initialized Networks (2022) (0)
- De-coupling and De-positioning Dense Self-supervised Learning (2023) (0)
- Robust Outlier Rejection for 3D Registration with Variational Bayes (2023) (0)
- Spatiotemporal Self-supervised Learning for Point Clouds in the Wild (2023) (0)
- Estimating Image Depth in the Comics Domain (Supplementary) (2021) (0)
- Rigidity-Aware Detection for 6D Object Pose Estimation (2023) (0)
- On Certifying Robust Models by Polyhedral Envelope (2019) (0)
- Universal, Transferable Adversarial Perturbations for Visual Object Trackers (2022) (0)
- Contact-aware Human Motion Forecasting (2022) (0)
- Kernel Coding: General Formulation and Special Cases (2014) (0)
- Semantically Plausible and Diverse 3D Human Motion Prediction (2019) (0)
- Non-Linear Subspace Clustering with Learned Low-Rank Kernels (2017) (0)
- Interpretable BoW Networks for Adversarial Example Detection (2019) (0)
- Early Action Prediction using 3DCNN with LSTM and Bidirectional LSTM (2021) (0)
- DSI2I: Dense Style for Unpaired Image-to-Image Translation (2022) (0)
- Least-Squares Minimization Under Constraints EPFL (2011) (0)
- Finer-Grained Correlations: Location Priors for Unseen Object Pose Estimation (2022) (0)
- Learning Transformations To Reduce the Geometric Shift in Object Detection (2023) (0)
- Residual Parameter Transfer for Deep Domain Adaptation : Supplementary material (2018) (0)
- DrapeNet: Garment Generation and Self-Supervised Draping (2022) (0)
- Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions (2022) (0)
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What Schools Are Affiliated With Mathieu Salzmann?
Mathieu Salzmann is affiliated with the following schools:
