Shadow Resistant Road Segmentation from a Mobile Monocular System. - José M. Álvarez 004; Antonio M. López 001; Ramon Baldrich (IbPRIA (2), 2007)

Synchronization of Video Sequences from Free-Moving Cameras. - Joan Serrat 002; Ferran Diego; Felipe Lumbreras; José Manuel Álvarez 001 (IbPRIA (2), 2007)

Alignment of videos recorded from moving vehicles. - Joan Serrat 002; Ferran Diego; Felipe Lumbreras; José Manuel Álvarez 001 (ICIAP, 2007)

Novel Index for Objective Evaluation of Road Detection Algorithms. - José M. Álvarez 004; Antonio M. López 001 (ITSC, 2008)

Learning photometric invariance from diversified color model ensembles. - José M. Álvarez 004; Theo Gevers; Antonio M. López 001 (CVPR, 2009)

Automatic ground-truthing using video registration for on-board detection algorithms. - José M. Álvarez 004; Ferran Diego; Antonio M. López 001; Joan Serrat 002; Daniel Ponsa (ICIP, 2009)

Vision-based road detection using road models. - José M. Álvarez 004; Theo Gevers; Antonio M. López 001 (ICIP, 2009)

3D Scene priors for road detection. - José M. Álvarez 004; Theo Gevers; Antonio M. López 001 (CVPR, 2010)

Vision-based road detection via on-line video registration. - Ferran Diego; José M. Álvarez 004; Joan Serrat 002; Antonio M. López 001 (ITSC, 2010)

Geographic information for vision-based road detection. - José M. Álvarez 004; Felipe Lumbreras; Theo Gevers; Antonio M. López 001 (Intelligent Vehicles Symposium, 2010)

Learning Photometric Invariance for Object Detection. - José M. Álvarez 004; Theo Gevers; Antonio M. López 001 (Int. J. Comput. Vis., 2010)

Road Detection Based on Illuminant Invariance. - José M. Álvarez 004; Antonio M. López 001 (IEEE Trans. Intell. Transp. Syst., 2011)

A New Framework for Stereo Sensor Pose Through Road Segmentation and Registration. - Fadi Dornaika; José M. Álvarez 004; Angel Domingo Sappa; Antonio M. López 001 (IEEE Trans. Intell. Transp. Syst., 2011)

Road Scene Segmentation from a Single Image. - José M. Álvarez 004; Theo Gevers; Yann LeCun; Antonio M. López 001 (ECCV (7), 2012)

Semantic Road Segmentation via Multi-scale Ensembles of Learned Features. - José M. Álvarez 004; Yann LeCun; Theo Gevers; Antonio M. López 001 (ECCV Workshops (2), 2012)

Understanding Road Scenes Using Visual Cues and GPS Information. - José M. Álvarez 004; Felipe Lumbreras; Antonio M. López 001; Theo Gevers (ECCV Workshops (3), 2012)

OCR from Video Stream of Book Flipping. - Dibyayan Chakraborty; Partha Pratim Roy 001; José M. Álvarez 004; Umapada Pal 001 (ACPR, 2013)

Evaluating Color Representations for On-Line Road Detection. - José M. Álvarez 004; Theo Gevers; Antonio M. López 001 (ICCV Workshops, 2013)

Learning appearance models for road detection. - José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (Intelligent Vehicles Symposium, 2013)

Duplicate open page removal from video stream of book flipping. - Dibyayan Chakraborty; Partha Pratim Roy 001; José M. Álvarez 004; Umapada Pal 001 (NCVPRIPG, 2013)

Road Geometry Classification by Adaptive Shape Models. - José M. Álvarez 004; Theo Gevers; Ferran Diego; Antonio M. López 001 (IEEE Trans. Intell. Transp. Syst., 2013)

Expression-Invariant Age Estimation. - Fares Alnajar; Zhongyu Lou; José M. Álvarez 004; Theo Gevers (BMVC, 2014)

Fast road detection and tracking in aerial videos. - Hailing Zhou; Hui Kong 001; José M. Álvarez 004; Douglas C. Creighton; Saeid Nahavandi (Intelligent Vehicles Symposium, 2014)

Large-scale semantic co-labeling of image sets. - José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (WACV, 2014)

Data-driven road detection. - José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (WACV, 2014)

Road Detection via On-line Label Transfer. - José M. Álvarez 004; Ferran Diego; Joan Serrat 002; Antonio M. López 001 (CoRR, 2014)

Road Detection by One-Class Color Classification: Dataset and Experiments. - José M. Álvarez 004; Theo Gevers; Antonio M. López 001 (CoRR, 2014)

Combining Priors, Appearance, and Context for Road Detection. - José M. Álvarez 004; Antonio M. López 001; Theo Gevers; Felipe Lumbreras (IEEE Trans. Intell. Transp. Syst., 2014)

Efficient scene parsing by sampling unary potentials in a fully-connected CRF. - Lachlan Horne; José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (Intelligent Vehicles Symposium, 2015)

Unsupervised image transformation for outdoor semantic labelling. - Germán Ros; José M. Álvarez 004 (Intelligent Vehicles Symposium, 2015)

Efficient Framework for Action Recognition Using Reduced Fisher Vector Encoding. - Prithviraj Dhar; José M. Álvarez 004; Partha Pratim Roy 001 (CVIP (2), 2016)

Learning Image Matching by Simply Watching Video. - Gucan Long; Laurent Kneip; José M. Álvarez 004; Hongdong Li; Xiaohu Zhang; Qifeng Yu (ECCV (6), 2016)

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation. - Fatemehsadat Saleh; Mohammad Sadegh Ali Akbarian; Mathieu Salzmann; Lars Petersson; Stephen Gould; José M. Álvarez 004 (ECCV (8), 2016)

Latent structural SVM with marginal probabilities for weakly labeled structured learning. - Shahin Rahmatollahi Namin; José M. Álvarez 004; Laurent Kneip; Lars Petersson (ICIP, 2016)

2D-3D semantic segmentation using cardinality as higher-order loss. - Shahin Rahmatollahi Namin; José M. Álvarez 004; Lars Petersson (ICPR, 2016)

Learning the Number of Neurons in Deep Networks. - José M. Álvarez 004; Mathieu Salzmann (NIPS, 2016)

Efficient transductive semantic segmentation. - José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (WACV, 2016)

DecomposeMe: Simplifying ConvNets for End-to-End Learning. - José M. Álvarez 004; Lars Petersson (CoRR, 2016)

Learning Image Matching by Simply Watching Video. - Gucan Long; Laurent Kneip; José M. Álvarez 004; Hongdong Li (CoRR, 2016)

Invertible Conditional GANs for image editing. - Guim Perarnau; Joost van de Weijer 001; Bogdan Raducanu; José M. Álvarez 004 (CoRR, 2016)

Semantic labeling for prosthetic vision. - Lachlan Horne; José M. Álvarez 004; Chris McCarthy; Mathieu Salzmann; Nick Barnes (Comput. Vis. Image Underst., 2016)

Exploiting Large Image Sets for Road Scene Parsing. - José M. Álvarez 004; Mathieu Salzmann; Nick Barnes (IEEE Trans. Intell. Transp. Syst., 2016)

Motion Estimation via Robust Decomposition With Constrained Rank. - Germán Ros; José M. Álvarez 004; Julio Guerrero (IEEE Trans. Intell. Veh., 2016)

EMOTIC: Emotions in Context Dataset. - Ronak Kosti; José M. Álvarez 004; Adrià Recasens; Àgata Lapedriza (CVPR Workshops, 2017)

Emotion Recognition in Context. - Ronak Kosti; José M. Álvarez 004; Adrià Recasens; Àgata Lapedriza (CVPR, 2017)

Domain-Adaptive Deep Network Compression. - Marc Masana; Joost van de Weijer 001; Luis Herranz; Andrew D. Bagdanov; José M. Álvarez 004 (ICCV, 2017)

Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation. - Fatemehsadat Saleh; Mohammad Sadegh Ali Akbarian; Mathieu Salzmann; Lars Petersson; José M. Álvarez 004 (ICCV, 2017)

Efficient ConvNet for real-time semantic segmentation. - Eduardo Romera; José M. Álvarez 004; Luis Miguel Bergasa; Roberto Arroyo (Intelligent Vehicles Symposium, 2017)

Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN). - Mohammad Ali Armin; Nick Barnes; José M. Álvarez 004; Hongdong Li; Florian Grimpen; Olivier Salvado (CARE/CLIP@MICCAI, 2017)

Compression-aware Training of Deep Networks. - José M. Álvarez 004; Mathieu Salzmann (NIPS, 2017)

An illumination-invariant nonparametric model for urban road detection using monocular camera and single-line lidar. - Yingna Su; Yigong Zhang; José M. Álvarez 004; Hui Kong 001 (ROBIO, 2017)

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation. - Fatemeh Sadat Saleh; Mohammad Sadegh Aliakbarian; Mathieu Salzmann; Lars Petersson; José M. Álvarez 004 (ECCV (2), 2018)

Train Here, Deploy There: Robust Segmentation in Unseen Domains. - Eduardo Romera; Luis Miguel Bergasa; José M. Álvarez 004; Mohan M. Trivedi (Intelligent Vehicles Symposium, 2018)

Fusion of LiDAR and Camera by Scanning in LiDAR Imagery and Image-Guided Diffusion for Urban Road Detection. - Yigong Zhang; Shuo Gu; Jian Yang 003; José M. Álvarez 004; Hui Kong 001 (Intelligent Vehicles Symposium, 2018)

Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization. - Kashyap Chitta; José M. Álvarez 004; Adam Lesnikowski (CoRR, 2018)

Large-Scale Visual Active Learning with Deep Probabilistic Ensembles. - Kashyap Chitta; José M. Álvarez 004; Adam Lesnikowski (CoRR, 2018)

ExpandNets: Exploiting Linear Redundancy to Train Small Networks. - Shuxuan Guo; José M. Álvarez 004; Mathieu Salzmann (CoRR, 2018)

Frame selection for OCR from video stream of book flipping. - Dibyayan Chakraborty; Partha Pratim Roy 001; Rajkumar Saini; José M. Álvarez 004; Umapada Pal 001 (Multim. Tools Appl., 2018)

Expression-Invariant Age Estimation Using Structured Learning. - Zhongyu Lou; Fares Alnajar; José M. Álvarez 004; Ninghang Hu; Theo Gevers (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation. - Fatemehsadat Saleh; Mohammad Sadegh Ali Akbarian; Mathieu Salzmann; Lars Petersson; José M. Álvarez 004; Stephen Gould (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation. - Eduardo Romera; José M. Álvarez 004; Luis Miguel Bergasa; Roberto Arroyo (IEEE Trans. Intell. Transp. Syst., 2018)

Guest Editorial Introduction to the Special Issue on Robust and Efficient Vision Techniques for Intelligent Vehicles. - Qi Wang 009; Luis Miguel Bergasa; José M. Álvarez 004 (IEEE Trans. Intell. Transp. Syst., 2018)

3-D LiDAR + Monocular Camera: An Inverse-Depth-Induced Fusion Framework for Urban Road Detection. - Shuo Gu; Tao Lu; Yigong Zhang; José M. Álvarez 004; Jian Yang 003; Hui Kong 001 (IEEE Trans. Intell. Veh., 2018)

Curb Detection for Road and Sidewalk Detection. - Mingmei Cheng; Yigong Zhang; Yingna Su; José M. Álvarez 004; Hui Kong 001 (IEEE Trans. Veh. Technol., 2018)

VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks. - Susan Gao; Xin Liu; Lung-Sheng Chien; William Zhang; José M. Álvarez 004 (ICCV Workshops, 2019)

Two-View Fusion based Convolutional Neural Network for Urban Road Detection. - Shuo Gu; Yigong Zhang; Jian Yang 003; José M. Álvarez 004; Hui Kong 001 (IROS, 2019)

Bridging the Day and Night Domain Gap for Semantic Segmentation. - Eduardo Romera; Luis Miguel Bergasa; Kailun Yang 001; José M. Álvarez 004; Rafael Barea (IV, 2019)

Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling. - Kashyap Chitta; José M. Álvarez 004; Elmar Haussmann; Clément Farabet (CoRR, 2019)

VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks. - Shuang Gao; Xin Liu; Lung-Sheng Chien; William Zhang; José M. Álvarez 004 (CoRR, 2019)

An Illumination-Invariant Nonparametric Model for Urban Road Detection. - Yingna Su; Yicheng Gao; Yigong Zhang; José M. Álvarez 004; Jian Yang 003; Hui Kong 001 (IEEE Trans. Intell. Veh., 2019)

Integrating Dense LiDAR-Camera Road Detection Maps by a Multi-Modal CRF Model. - Shuo Gu; Yigong Zhang; Jinhui Tang 001; Jian Yang 003; José M. Álvarez 004; Hui Kong 001 (IEEE Trans. Veh. Technol., 2019)

Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion. - Hongxu Yin; Pavlo Molchanov 001; José M. Álvarez 004; Zhizhong Li 001; Arun Mallya; Derek Hoiem; Niraj K. Jha; Jan Kautz (CVPR, 2020)

Scalable Active Learning for Object Detection. - Elmar Haussmann; Michele Fenzi; Kashyap Chitta; Jan Ivanecky; Hanson Xu; Donna Roy; Akshita Mittel; Nicolas Koumchatzky; Clément Farabet; José M. Álvarez 004 (IV, 2020)

ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks. - Shuxuan Guo; José M. Álvarez 004; Mathieu Salzmann (NeurIPS, 2020)

Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions. - Kashyap Chitta; José M. Álvarez 004; Martial Hebert (WACV, 2020)

Context Based Emotion Recognition Using EMOTIC Dataset. - Ronak Kosti; José M. Álvarez 004; Adrià Recasens; Àgata Lapedriza (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Optimal Quantization Using Scaled Codebook. - Yerlan Idelbayev; Pavlo Molchanov 001; Maying Shen; Hongxu Yin; Miguel Á. Carreira-Perpiñán; José M. Álvarez 004 (CVPR, 2021)

Self-Supervised Learning of Depth Inference for Multi-View Stereo. - Jiayu Yang; José M. Álvarez 004; Miaomiao Liu 001 (CVPR, 2021)

See Through Gradients: Image Batch Recovery via GradInversion. - Hongxu Yin; Arun Mallya; Arash Vahdat; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2021)

Active Learning for Deep Object Detection via Probabilistic Modeling. - Jiwoong Choi; Ismail Elezi; Hyuk-Jae Lee; Clément Farabet; José M. Álvarez 004 (ICCV, 2021)

Contrastive Syn-to-Real Generalization. - Wuyang Chen 001; Zhiding Yu; Shalini De Mello; Sifei Liu; José M. Álvarez 004; Zhangyang Wang; Anima Anandkumar (ICLR, 2021)

Personalized Federated Learning with First Order Model Optimization. - Michael Zhang; Karan Sapra; Sanja Fidler; Serena Yeung; José M. Álvarez 004 (ICLR, 2021)

Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. - Nadine Chang; Zhiding Yu; Yu-Xiong Wang; Animashree Anandkumar; Sanja Fidler; José M. Álvarez 004 (ICML, 2021)

Boosting Supervised Learning Performance with Co-training. - Xinnan Du; William Zhang; José M. Álvarez 004 (IV, 2021)

Distilling Image Classifiers in Object Detectors. - Shuxuan Guo; José M. Álvarez 004; Mathieu Salzmann (NeurIPS, 2021)

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. - Enze Xie; Wenhai Wang; Zhiding Yu; Anima Anandkumar; José M. Álvarez 004; Ping Luo 002 (NeurIPS, 2021)

Data-free Knowledge Distillation for Object Detection. - Akshay Chawla; Hongxu Yin; Pavlo Molchanov 001; José M. Álvarez 004 (WACV, 2021)

Towards Reducing Labeling Cost in Deep Object Detection. - Ismail Elezi; Zhiding Yu; Anima Anandkumar; Laura Leal-Taixé; José M. Álvarez 004 (CoRR, 2021)

Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion. - Xin Dong 009; Hongxu Yin; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001 (CoRR, 2021)

Panoptic SegFormer. - Zhiqi Li; Wenhai Wang; Enze Xie; Zhiding Yu; Anima Anandkumar; José M. Álvarez 004; Tong Lu; Ping Luo 002 (CoRR, 2021)

HALP: Hardware-Aware Latency Pruning. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; Jianna Liu; José M. Álvarez 004 (CoRR, 2021)

AdaViT: Adaptive Tokens for Efficient Vision Transformer. - Hongxu Yin; Arash Vahdat; José M. Álvarez 004; Arun Mallya; Jan Kautz; Pavlo Molchanov 001 (CoRR, 2021)

Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks. - Xin Dong 009; Hongxu Yin; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001; H. T. Kung 001 (BMVC, 2022)

Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. - Ismail Elezi; Zhiding Yu; Anima Anandkumar; Laura Leal-Taixé; José M. Álvarez 004 (CVPR, 2022)

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers. - Zhiqi Li; Wenhai Wang; Enze Xie; Zhiding Yu; Anima Anandkumar; José M. Álvarez 004; Ping Luo 002; Tong Lu (CVPR, 2022)

How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. - Rafid Mahmood; James Lucas; David Acuna; Daiqing Li; Jonah Philion; José M. Álvarez 004; Zhiding Yu; Sanja Fidler; Marc T. Law (CVPR, 2022)

When to Prune? A Policy towards Early Structural Pruning. - Maying Shen; Pavlo Molchanov 001; Hongxu Yin; José M. Álvarez 004 (CVPR, 2022)

FreeSOLO: Learning to Segment Objects without Annotations. - Xinlong Wang; Zhiding Yu; Shalini De Mello; Jan Kautz; Anima Anandkumar; Chunhua Shen; José M. Álvarez 004 (CVPR, 2022)

Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo. - Jiayu Yang; José M. Álvarez 004; Miaomiao Liu 001 (CVPR, 2022)

A-ViT: Adaptive Tokens for Efficient Vision Transformer. - Hongxu Yin; Arash Vahdat; José M. Álvarez 004; Arun Mallya; Jan Kautz; Pavlo Molchanov 001 (CVPR, 2022)

Soft Masking for Cost-Constrained Channel Pruning. - Ryan Humble; Maying Shen; Jorge Albericio Latorre; Eric Darve; José M. Álvarez 004 (ECCV (11), 2022)

Understanding The Robustness in Vision Transformers. - Daquan Zhou; Zhiding Yu; Enze Xie; Chaowei Xiao; Animashree Anandkumar; Jiashi Feng; José M. Álvarez 004 (ICML, 2022)

Object-Level Targeted Selection via Deep Template Matching. - Suraj Kothawade; Donna Roy; Michele Fenzi; Elmar Haussmann; José M. Álvarez 004; Christoph Angerer (IV, 2022)

Optimizing Data Collection for Machine Learning. - Rafid Mahmood; James Lucas; José M. Álvarez 004; Sanja Fidler; Marc T. Law (NeurIPS, 2022)

Structural Pruning via Latency-Saliency Knapsack. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; Jianna Liu; José M. Álvarez 004 (NeurIPS, 2022)

M2BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation. - Enze Xie; Zhiding Yu; Daquan Zhou; Jonah Philion; Anima Anandkumar; Sanja Fidler; Ping Luo 002; José M. Álvarez 004 (CoRR, 2022)

Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment. - Shuxuan Guo; Yinlin Hu; José M. Álvarez 004; Mathieu Salzmann (CoRR, 2022)

Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. - Jiayu Yang; Wei Mao 001; José M. Álvarez 004; Miaomiao Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Training Data Subset Search With Ensemble Active Learning. - Kashyap Chitta; José M. Álvarez 004; Elmar Haussmann; Clément Farabet (IEEE Trans. Intell. Transp. Syst., 2022)

Capitalizing on RGB-FIR Hybrid Imaging for Road Detection. - Yigong Zhang; Jin Xie 001; José M. Álvarez 004; Cheng-Zhong Xu 001; Jian Yang 003; Hui Kong 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions. - Shuxuan Guo; Yinlin Hu; José M. Álvarez 004; Mathieu Salzmann (CVPR, 2023)

Vision Transformers are Good Mask Auto-Labelers. - Shiyi Lan; Xitong Yang; Zhiding Yu; Zuxuan Wu; José M. Álvarez 004; Anima Anandkumar (CVPR, 2023)

VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion. - Yiming Li 003; Zhiding Yu; Christopher B. Choy; Chaowei Xiao; José M. Álvarez 004; Sanja Fidler; Chen Feng 002; Anima Anandkumar (CVPR, 2023)

FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. - Yilun Chen; Zhiding Yu; Yukang Chen; Shiyi Lan; Anima Anandkumar; Jiaya Jia; José M. Álvarez 004 (ICCV, 2023)

Towards Viewpoint Robustness in Bird's Eye View Segmentation. - Tzofi Klinghoffer; Jonah Philion; Wenzheng Chen; Or Litany; Zan Gojcic; Jungseock Joo; Ramesh Raskar; Sanja Fidler; José M. Álvarez 004 (ICCV, 2023)

FB-BEV: BEV Representation from Forward-Backward View Transformations. - Zhiqi Li; Zhiding Yu; Wenhai Wang; Anima Anandkumar; Tong Lu; José M. Álvarez 004 (ICCV, 2023)

Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View. - Jiayu Yang; Enze Xie; Miaomiao Liu 001; José M. Álvarez 004 (ICCV, 2023)

Fully Attentional Networks with Self-emerging Token Labeling. - Bingyin Zhao; Zhiding Yu; Shiyi Lan; Yutao Cheng; Anima Anandkumar; Yingjie Lao; José M. Álvarez 004 (ICCV, 2023)

Augmenting Legacy Networks for Flexible Inference. - Jason Clemons; Iuri Frosio; Maying Shen; José M. Álvarez 004; Stephen W. Keckler (IV, 2023)

Hardware-Aware Latency Pruning for Real-Time 3D Object Detection. - Maying Shen; Lei Mao; Joshua Chen; Justin Hsu; Xinglong Sun; Oliver Knieps; Carmen Maxim; José M. Álvarez 004 (IV, 2023)

FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation. - Zhiqi Li; Zhiding Yu; David Austin; Mingsheng Fang; Shiyi Lan; Jan Kautz; José M. Álvarez 004 (CoRR, 2023)

What is Point Supervision Worth in Video Instance Segmentation? - Shuaiyi Huang; De-An Huang; Zhiding Yu; Shiyi Lan; Subhashree Radhakrishnan; José M. Álvarez 004; Abhinav Shrivastava; Anima Anandkumar (CVPR Workshops, 2024)

BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection. - Zhenxin Li; Shiyi Lan; José M. Álvarez 004; Zuxuan Wu (CVPR, 2024)

Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? - Zhiqi Li; Zhiding Yu; Shiyi Lan; Jiahan Li; Jan Kautz; Tong Lu; José M. Álvarez 004 (CVPR, 2024)

Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation. - Hoang Chuong Nguyen; Tianyu Wang; José M. Álvarez 004; Miaomiao Liu 001 (CVPR, 2024)

Improving Distant 3D Object Detection Using 2D Box Supervision. - Zetong Yang; Zhiding Yu; Christopher B. Choy; Renhao Wang; Anima Anandkumar; José M. Álvarez 004 (CVPR, 2024)

SegIC: Unleashing the Emergent Correspondence for In-Context Segmentation. - Lingchen Meng; Shiyi Lan; Hengduo Li; José M. Álvarez 004; Zuxuan Wu; Yu-Gang Jiang 001 (ECCV (38), 2024)

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks. - Anna Bair; Hongxu Yin; Maying Shen; Pavlo Molchanov 001; José M. Álvarez 004 (ICLR, 2024)

FasterViT: Fast Vision Transformers with Hierarchical Attention. - Ali Hatamizadeh; Greg Heinrich; Hongxu Yin; Andrew Tao; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001 (ICLR, 2024)

SF3D: SlowFast Temporal 3D Object Detection. - Renhao Wang; Zhiding Yu; Shiyi Lan; Enze Xie; Ke Chen; Anima Anandkumar; José M. Álvarez 004 (IV, 2024)

Memorize What Matters: Emergent Scene Decomposition from Multitraverse. - Yiming Li 003; Zehong Wang; Yue Wang 041; Zhiding Yu; Zan Gojcic; Marco Pavone 001; Chen Feng 002; José M. Álvarez 004 (NeurIPS, 2024)

OmniDrive: A Holistic LLM-Agent Framework for Autonomous Driving with 3D Perception, Reasoning and Planning. - Shihao Wang; Zhiding Yu; Xiaohui Jiang; Shiyi Lan; Min Shi; Nadine Chang; Jan Kautz; Ying Li; José M. Álvarez 004 (CoRR, 2024)

Step Out and Seek Around: On Warm-Start Training with Incremental Data. - Maying Shen; Hongxu Yin; Pavlo Molchanov 001; Lei Mao; José M. Álvarez 004 (CoRR, 2024)

Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation. - Zhenxin Li; Kailin Li 004; Shihao Wang; Shiyi Lan; Zhiding Yu; Yishen Ji; Zhiqi Li; Ziyue Zhu; Jan Kautz; Zuxuan Wu; Yu-Gang Jiang 001; José M. Álvarez 004 (CoRR, 2024)

Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint. - Xinglong Sun; Barath Lakshmanan; Maying Shen; Shiyi Lan; Jingde Chen; José M. Álvarez 004 (CoRR, 2024)

Exploring Camera Encoder Designs for Autonomous Driving Perception. - Barath Lakshmanan; Joshua Chen; Shiyi Lan; Maying Shen; Zhiding Yu; José M. Álvarez 004 (CoRR, 2024)

Uncertainty Estimation for 3D Object Detection via Evidential Learning. - Nikita Durasov; Rafid Mahmood; Jiwoong Choi; Marc T. Law; James Lucas; Pascal Fua; José M. Álvarez 004 (CoRR, 2024)

Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers. - Alberto Gonzalo Rodriguez Salgado; Maying Shen; Philipp Harzig; Peter Mayer; José M. Álvarez 004 (CoRR, 2024)

StreamChat: Chatting with Streaming Video. - Jihao Liu; Zhiding Yu; Shiyi Lan; Shihao Wang; Rongyao Fang; Jan Kautz; Hongsheng Li 001; José M. Álvarez 004 (CoRR, 2024)

Joint Optimization of Neural Radiance Fields and Continuous Camera Motion from a Monocular Video. - Hoang Chuong Nguyen; Wei Mao 001; José M. Álvarez 004; Miaomiao Liu 001 (CVPR, 2025)

PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models. - Jenny Schmalfuss; Nadine Chang; Vibashan VS; Maying Shen; Andrés Bruhn; José M. Álvarez 004 (CVPR, 2025)

MDP: Multidimensional Vision Model Pruning with Latency Constraint. - Xinglong Sun; Barath Lakshmanan; Maying Shen; Shiyi Lan; Jingde Chen; José M. Álvarez 004 (CVPR, 2025)

OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning. - Shihao Wang; Zhiding Yu; Xiaohui Jiang; Shiyi Lan; Min Shi; Nadine Chang; Jan Kautz; Ying Li; José M. Álvarez 004 (CVPR, 2025)

SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation. - Maying Shen; Nadine Chang; Sifei Liu; José M. Álvarez 004 (KDD (1), 2025)

Advancing Weight and Channel Sparsification with Enhanced Saliency. - Xinglong Sun; Maying Shen; Hongxu Yin; Lei Mao; Pavlo Molchanov 001; José M. Álvarez 004 (WACV, 2025)

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models. - Zhiqi Li; Guo Chen 006; Shilong Liu; Shihao Wang; Vibashan VS; Yishen Ji; Shiyi Lan; Hao Zhang 097; Yilin Zhao; Subhashree Radhakrishnan; Nadine Chang; Karan Sapra; et al. (CoRR, 2025)

Enhancing Autonomous Driving Safety with Collision Scenario Integration. - Zi Wang; Shiyi Lan; Xinglong Sun; Nadine Chang; Zhenxin Li; Zhiding Yu; José M. Álvarez 004 (CoRR, 2025)

Centaur: Robust End-to-End Autonomous Driving with Test-Time Training. - Chonghao Sima; Kashyap Chitta; Zhiding Yu; Shiyi Lan; Ping Luo 002; Andreas Geiger 001; Hongyang Li 001; José M. Álvarez 004 (CoRR, 2025)

Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training. - Zhenxin Li; Shihao Wang; Shiyi Lan; Zhiding Yu; Zuxuan Wu; José M. Álvarez 004 (CoRR, 2025)

Hydra-MDP++: Advancing End-to-End Driving via Expert-Guided Hydra-Distillation. - Kailin Li 004; Zhenxin Li; Shiyi Lan; Yuan Xie; Zhizhong Zhang; Jiayi Liu; Zuxuan Wu; Zhiding Yu; José M. Álvarez 004 (CoRR, 2025)

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control. - Hassan Abu Alhaija; José M. Álvarez 004; Maciej Bala; Tiffany Cai; Tianshi Cao; Liz Cha; Joshua Chen; Mike Chen; Francesco Ferroni; Sanja Fidler; Dieter Fox; Yunhao Ge; et al. (CoRR, 2025)

DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning. - Wenhao Yao; Zhenxin Li; Shiyi Lan; Zi Wang; Xinglong Sun; José M. Álvarez 004; Zuxuan Wu (CoRR, 2025)

Generalized Trajectory Scoring for End-to-end Multimodal Planning. - Zhenxin Li; Wenhao Yao; Zi Wang; Xinglong Sun; Joshua Chen; Nadine Chang; Maying Shen; Zuxuan Wu; Shiyi Lan; José M. Álvarez 004 (CoRR, 2025)

AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection Training. - Feiyang Kang; Nadine Chang; Maying Shen; Marc T. Law; Rafid Mahmood; Ruoxi Jia 001; José M. Álvarez 004 (CoRR, 2025)

VideoITG: Multimodal Video Understanding with Instructed Temporal Grounding. - Shihao Wang; Guo Chen 006; De-An Huang; Zhiqi Li; Minghan Li; Guilin Li; José M. Álvarez 004; Lei Zhang; Zhiding Yu (CoRR, 2025)