Jose M. Alvarez

DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning AAAI 2026 GHOST: Getting to the Bottom of Hallucinations with A Multi-round Consistency Benchmark WACV 2026 Advancing Weight and Channel Sparsification with Enhanced Saliency WACV 2025 Optimizing Data Collection for Machine Learning JMLR 2025 Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training ICCV 2025 PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models CVPR 2025 OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning CVPR 2025 Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video CVPR 2025 MDP: Multidimensional Vision Model Pruning with Latency Constraint CVPR 2025 FasterViT: Fast Vision Transformers with Hierarchical Attention ICLR 2024 Memorize What Matters: Emergent Scene Decomposition from Multitraverse NIPS 2024 Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? CVPR 2024 Improving Distant 3D Object Detection Using 2D Box Supervision CVPR 2024 BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection CVPR 2024 Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation CVPR 2024 Adaptive Sharpness-Aware Pruning for Robust Sparse Networks ICLR 2024 Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View ICCV 2023 FocalFormer3D: Focusing on Hard Instance for 3D Object Detection ICCV 2023 Towards Viewpoint Robustness in Bird's Eye View Segmentation ICCV 2023 FB-BEV: BEV Representation from Forward-Backward View Transformations ICCV 2023 Fully Attentional Networks with Self-emerging Token Labeling ICCV 2023 Can We Trust Fair-AI? AAAI 2023 Vision Transformers Are Good Mask Auto-Labelers CVPR 2023 Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions CVPR 2023 VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion CVPR 2023 Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo CVPR 2022 Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection CVPR 2022 Panoptic SegFormer: Delving Deeper Into Panoptic Segmentation With Transformers CVPR 2022 When To Prune? A Policy Towards Early Structural Pruning CVPR 2022 A-ViT: Adaptive Tokens for Efficient Vision Transformer CVPR 2022 How Much More Data Do I Need? Estimating Requirements for Downstream Tasks CVPR 2022 Optimizing Data Collection for Machine Learning NIPS 2022 Structural Pruning via Latency-Saliency Knapsack NIPS 2022 Understanding The Robustness in Vision Transformers ICML 2022 FreeSOLO: Learning To Segment Objects Without Annotations CVPR 2022 See Through Gradients: Image Batch Recovery via GradInversion CVPR 2021 SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers NIPS 2021 Self-Supervised Learning of Depth Inference for Multi-View Stereo CVPR 2021 Contrastive Syn-to-Real Generalization ICLR 2021 Personalized Federated Learning with First Order Model Optimization ICLR 2021 Active Learning for Deep Object Detection via Probabilistic Modeling ICCV 2021 Optimal Quantization Using Scaled Codebook CVPR 2021 Distilling Image Classifiers in Object Detectors NIPS 2021 Cost Volume Pyramid Based Depth Inference for Multi-View Stereo CVPR 2020 Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion CVPR 2020 ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks NIPS 2020 Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions WACV 2020 Effective Use of Synthetic Data for Urban Scene Semantic Segmentation ECCV 2018 Bringing Background Into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation ICCV 2017 Compression-aware Training of Deep Networks NIPS 2017 Emotion Recognition in Context CVPR 2017 Domain-Adaptive Deep Network Compression ICCV 2017 Learning the Number of Neurons in Deep Networks NIPS 2016