Multi-scale and Snakes for Automatic Road Extraction. - Helmut Mayer 001; Ivan Laptev; Albert Baumgartner (ECCV (1), 1998)

Agilo RoboCuppers: RoboCup Team Description. - Michael Klupsch; Maximilian Lückenhaus; Christoph Zierl; Ivan Laptev; Thorsten Bandlow; Marc Grimme; Ignaz Kellerer; Fabian Schwarzer (RoboCup, 1998)

Automatic extraction of roads from aerial images based on scale space and snakes. - Ivan Laptev; Helmut Mayer 001; Tony Lindeberg; Wolfgang Eckstein; Carsten Steger; Albert Baumgartner (Mach. Vis. Appl., 2000)

Tracking of Multi-state Hand Models Using Particle Filtering and a Hierarchy of Multi-scale Image Features. - Ivan Laptev; Tony Lindeberg (Scale-Space, 2001)

A Multi-scale Feature Likelihood Map for Direct Evaluation of Object Hypotheses. - Ivan Laptev; Tony Lindeberg (Scale-Space, 2001)

Hand Gesture Recognition using Multi-Scale Colour Features, Hierarchical Models and Particle Filtering. - Lars Bretzner; Ivan Laptev; Tony Lindeberg (FGR, 2002)

Space-time Interest Points. - Ivan Laptev; Tony Lindeberg (ICCV, 2003)

Interest Point Detection and Scale Selection in Space-Time. - Ivan Laptev; Tony Lindeberg (Scale-Space, 2003)

A Distance Measure and a Feature Likelihood Map Concept for Scale-Invariant Model Matching. - Ivan Laptev; Tony Lindeberg (Int. J. Comput. Vis., 2003)

Velocity Adaptation of Space-Time Interest Points. - Ivan Laptev; Tony Lindeberg (ICPR (1), 2004)

Galilean-Diagonalized Spatio-Temporal Interest Operators. - Tony Lindeberg; Amir Akbarzadeh; Ivan Laptev (ICPR (1), 2004)

Recognizing Human Actions: A Local SVM Approach. - Christian Schüldt; Ivan Laptev; Barbara Caputo (ICPR (3), 2004)

Local Descriptors for Spatio-temporal Recognition. - Ivan Laptev; Tony Lindeberg (SCVMA, 2004)

Velocity adaptation of spatio-temporal receptive fields for direct recognition of activities: an experimental study. - Ivan Laptev; Tony Lindeberg (Image Vis. Comput., 2004)

Local spatio-temporal image features for motion interpretation. - Ivan Laptev (2004)

Periodic Motion Detection and Segmentation via Approximate Sequence Alignment. - Ivan Laptev; Serge J. Belongie; Patrick Pérez; Josh Wills (ICCV, 2005)

On Space-Time Interest Points. - Ivan Laptev (Int. J. Comput. Vis., 2005)

Improvements of Object Detection Using Boosted Histograms. - Ivan Laptev (BMVC, 2006)

Video copy detection: a comparative study. - Julien Law-To; Li Chen; Alexis Joly; Ivan Laptev; Olivier Buisson; Valérie Gouet-Brunet; Nozha Boujemaa; Fred Stentiford (CIVR, 2007)

Retrieving actions in movies. - Ivan Laptev; Patrick Pérez (ICCV, 2007)

Local velocity-adapted motion events for spatio-temporal recognition. - Ivan Laptev; Barbara Caputo; Christian Schüldt; Tony Lindeberg (Comput. Vis. Image Underst., 2007)

Learning realistic human actions from movies. - Ivan Laptev; Marcin Marszalek; Cordelia Schmid; Benjamin Rozenfeld (CVPR, 2008)

Cross-View Action Recognition from Temporal Self-similarities. - Imran N. Junejo; Emilie Dexter; Ivan Laptev; Patrick Pérez (ECCV (2), 2008)

Multi-view Synchronization of Human Actions and Dynamic Scenes. - Emilie Dexter; Patrick Pérez; Ivan Laptev (BMVC, 2009)

Evaluation of Local Spatio-temporal Features for Action Recognition. - Heng Wang; Muhammad Muneeb Ullah; Alexander Kläser; Ivan Laptev; Cordelia Schmid (BMVC, 2009)

Actions in context. - Marcin Marszalek; Ivan Laptev; Cordelia Schmid (CVPR, 2009)

Modeling Image Context Using Object Centered Grid. - Sobhan Naderi Parizi; Ivan Laptev; Alireza Tavakoli Targhi (DICTA, 2009)

Automatic annotation of human actions in video. - Olivier Duchenne; Ivan Laptev; Josef Sivic; Francis R. Bach; Jean Ponce (ICCV, 2009)

View-independent Video Synchronization from Temporal Self-similarities. - Emilie Dexter; Patrick Pérez; Ivan Laptev; Imran N. Junejo (VISAPP (2), 2009)

Improving object detection with boosted histograms. - Ivan Laptev (Image Vis. Comput., 2009)

Recognizing human actions in still images: a study of bag-of-features and part-based representations. - Vincent Delaitre; Ivan Laptev; Josef Sivic (BMVC, 2010)

Improving bag-of-features action recognition with non-local cues. - Muhammad Muneeb Ullah; Sobhan Naderi Parizi; Ivan Laptev (BMVC, 2010)

Semi-supervised Learning of Facial Attributes in Video. - Neva Cherniavsky; Ivan Laptev; Josef Sivic; Andrew Zisserman (ECCV Workshops (1), 2010)

Recognizing Human Action in the Wild. - Ivan Laptev (HBU, 2010)

INRIA-WILLOW at TRECVID 2010 : Surveillance Event Detection. - Rachid Benmokhtar; Ivan Laptev (TRECVID, 2010)

Track to the future: Spatio-temporal video segmentation with long-range motion cues. - José Lezama; Karteek Alahari; Josef Sivic; Ivan Laptev (CVPR, 2011)

Density-aware person detection and tracking in crowds. - Mikel Rodriguez; Ivan Laptev; Josef Sivic; Jean-Yves Audibert (ICCV, 2011)

Data-driven crowd analysis in videos. - Mikel Rodriguez; Josef Sivic; Ivan Laptev; Jean-Yves Audibert (ICCV, 2011)

Joint pose estimation and action recognition in image graphs. - Kumar Raja; Ivan Laptev; Patrick Pérez; Lionel Oisel (ICIP, 2011)

Learning person-object interactions for action recognition in still images. - Vincent Delaitre; Josef Sivic; Ivan Laptev (NIPS, 2011)

View-Independent Action Recognition from Temporal Self-Similarities. - Imran N. Junejo; Emilie Dexter; Ivan Laptev; Patrick Pérez (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Object Detection Using Strongly-Supervised Deformable Part Models. - Hossein Azizpour; Ivan Laptev (ECCV (1), 2012)

Scene Semantics from Long-Term Observation of People. - Vincent Delaitre; David F. Fouhey; Ivan Laptev; Josef Sivic; Abhinav Gupta 001; Alexei A. Efros (ECCV (6), 2012)

Actlets: A novel local representation for human action recognition in video. - Muhammad Muneeb Ullah; Ivan Laptev (ICIP, 2012)

Modeling and visual recognition of human actions and interactions. - Ivan Laptev (2013)

Pose Estimation and Segmentation of People in 3D Movies. - Karteek Alahari; Guillaume Seguin; Josef Sivic; Ivan Laptev (ICCV, 2013)

Finding Actors and Actions in Movies. - Piotr Bojanowski; Francis R. Bach; Ivan Laptev; Jean Ponce; Cordelia Schmid; Josef Sivic (ICCV, 2013)

Efficient Feature Extraction, Encoding, and Classification for Action Recognition. - Vadim Kantorov; Ivan Laptev (CVPR, 2014)

Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks. - Maxime Oquab; Léon Bottou; Ivan Laptev; Josef Sivic (CVPR, 2014)

Weakly Supervised Action Labeling in Videos under Ordering Constraints. - Piotr Bojanowski; Rémi Lajugie; Francis R. Bach; Ivan Laptev; Jean Ponce; Cordelia Schmid; Josef Sivic (ECCV (5), 2014)

Predicting Actions from Static Scenes. - Tuan-Hung Vu; Catherine Olsson; Ivan Laptev; Aude Oliva; Josef Sivic (ECCV (5), 2014)

On Pairwise Cost for Multi-Object Network Flow Tracking. - Visesh Chari; Simon Lacoste-Julien; Ivan Laptev; Josef Sivic (CoRR, 2014)

People Watching: Human Actions as a Cue for Single View Geometry. - David F. Fouhey; Vincent Delaitre; Abhinav Gupta 001; Alexei A. Efros; Ivan Laptev; Josef Sivic (Int. J. Comput. Vis., 2014)

On pairwise costs for network flow multi-object tracking. - Visesh Chari; Simon Lacoste-Julien; Ivan Laptev; Josef Sivic (CVPR, 2015)

Is object localization for free? - Weakly-supervised learning with convolutional neural networks. - Maxime Oquab; Léon Bottou; Ivan Laptev; Josef Sivic (CVPR, 2015)

Weakly-Supervised Alignment of Video with Text. - Piotr Bojanowski; Rémi Lajugie; Edouard Grave; Francis R. Bach; Ivan Laptev; Jean Ponce; Cordelia Schmid (ICCV, 2015)

P-CNN: Pose-Based CNN Features for Action Recognition. - Guilhem Chéron; Ivan Laptev; Cordelia Schmid (ICCV, 2015)

Unsupervised Object Discovery and Tracking in Video Collections. - Suha Kwak; Minsu Cho; Ivan Laptev; Jean Ponce; Cordelia Schmid (ICCV, 2015)

Context-Aware CNNs for Person Head Detection. - Tuan-Hung Vu; Anton Osokin; Ivan Laptev (ICCV, 2015)

Unsupervised object discovery and localization in images and videos. - Minsu Cho; Suha Kwak; Ivan Laptev; Cordelia Schmid; Jean Ponce (URAI, 2015)

Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies. - Guillaume Seguin; Karteek Alahari; Josef Sivic; Ivan Laptev (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Unsupervised Learning from Narrated Instruction Videos. - Jean-Baptiste Alayrac; Piotr Bojanowski; Nishant Agrawal; Josef Sivic; Ivan Laptev; Simon Lacoste-Julien (CVPR, 2016)

Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation. - Suha Kwak; Minsu Cho; Ivan Laptev (CVPR, 2016)

Instance-Level Video Segmentation from Object Tracks. - Guillaume Seguin; Piotr Bojanowski; Rémi Lajugie; Ivan Laptev (CVPR, 2016)

ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization. - Vadim Kantorov; Maxime Oquab; Minsu Cho; Ivan Laptev (ECCV (5), 2016)

Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding. - Gunnar A. Sigurdsson; Gül Varol; Xiaolong Wang 004; Ali Farhadi; Ivan Laptev; Abhinav Gupta 001 (ECCV (1), 2016)

Much Ado About Time: Exhaustive Annotation of Temporal Data. - Gunnar A. Sigurdsson; Olga Russakovsky; Ali Farhadi; Ivan Laptev; Abhinav Gupta 001 (HCOMP, 2016)

Guest Editorial: Video Recognition. - Ivan Laptev; Deva Ramanan; Josef Sivic (Int. J. Comput. Vis., 2016)

The Analysis of High Density Crowds in Videos. - Mikel Rodriguez; Josef Sivic; Ivan Laptev (Group and Crowd Behavior for Computer Vision, 2017)

Learning from Synthetic Humans. - Gül Varol; Javier Romero 002; Xavier Martin; Naureen Mahmood; Michael J. Black; Ivan Laptev; Cordelia Schmid (CVPR, 2017)

Joint Discovery of Object States and Manipulation Actions. - Jean-Baptiste Alayrac; Josef Sivic; Ivan Laptev; Simon Lacoste-Julien (ICCV, 2017)

Learning from Video and Text via Large-Scale Discriminative Clustering. - Antoine Miech; Jean-Baptiste Alayrac; Piotr Bojanowski; Ivan Laptev; Josef Sivic (ICCV, 2017)

Weakly-Supervised Learning of Visual Relations. - Julia Peyre; Ivan Laptev; Cordelia Schmid; Josef Sivic (ICCV, 2017)

Joint Discovery of Object States and Manipulating Actions. - Jean-Baptiste Alayrac; Josef Sivic; Ivan Laptev; Simon Lacoste-Julien (CoRR, 2017)

Learnable pooling with Context Gating for video classification. - Antoine Miech; Ivan Laptev; Josef Sivic (CoRR, 2017)

Editorial- Deep Learning for Computer Vision. - Ross B. Girshick; Iasonas Kokkinos; Ivan Laptev; Jitendra Malik; George Papandreou; Andrea Vedaldi; Xiaogang Wang 001; Shuicheng Yan; Alan L. Yuille (Comput. Vis. Image Underst., 2017)

The THUMOS challenge on action recognition for videos "in the wild". - Haroon Idrees; Amir R. Zamir; Yu-Gang Jiang 001; Alex Gorban; Ivan Laptev; Rahul Sukthankar; Mubarak Shah (Comput. Vis. Image Underst., 2017)

MobileFace: 3D Face Reconstruction with Efficient CNN Regression. - Nikolai Chinaev; Alexander Chigorin; Ivan Laptev (ECCV Workshops (4), 2018)

BodyNet: Volumetric Inference of 3D Human Body Shapes. - Gül Varol; Duygu Ceylan; Bryan C. Russell; Jimei Yang; Ersin Yumer; Ivan Laptev; Cordelia Schmid (ECCV (7), 2018)

A flexible model for training action localization with varying levels of supervision. - Guilhem Chéron; Jean-Baptiste Alayrac; Ivan Laptev; Cordelia Schmid (NeurIPS, 2018)

Learning a Text-Video Embedding from Incomplete and Heterogeneous Data. - Antoine Miech; Ivan Laptev; Josef Sivic (CoRR, 2018)

Modeling Spatio-Temporal Human Track Structure for Action Localization. - Guilhem Chéron; Anton Osokin; Ivan Laptev; Cordelia Schmid (CoRR, 2018)

Learning to Localize and Align Fine-Grained Actions to Sparse Instructions. - Meera Hahn; Nataniel Ruiz; Jean-Baptiste Alayrac; Ivan Laptev; James M. Rehg (CoRR, 2018)

Tube-CNN: Modeling temporal evolution of appearance for object detection in video. - Tuan-Hung Vu; Anton Osokin; Ivan Laptev (CoRR, 2018)

Detecting rare visual relations using analogies. - Julia Peyre; Ivan Laptev; Cordelia Schmid; Josef Sivic (CoRR, 2018)

Learning from Narrated Instruction Videos. - Jean-Baptiste Alayrac; Piotr Bojanowski; Nishant Agrawal; Josef Sivic; Ivan Laptev; Simon Lacoste-Julien (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Long-Term Temporal Convolutions for Action Recognition. - Gül Varol; Ivan Laptev; Cordelia Schmid (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Learning Joint Reconstruction of Hands and Manipulated Objects. - Yana Hasson; Gül Varol; Dimitrios Tzionas; Igor Kalevatykh; Michael J. Black; Ivan Laptev; Cordelia Schmid (CVPR, 2019)

Deep Metric Learning Beyond Binary Supervision. - Sungyeon Kim; Minkyo Seo; Ivan Laptev; Minsu Cho; Suha Kwak (CVPR, 2019)

Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video. - Zongmian Li; Jirí Sedlár; Justin Carpentier; Ivan Laptev; Nicolas Mansard; Josef Sivic (CVPR, 2019)

Leveraging the Present to Anticipate the Future in Videos. - Antoine Miech; Ivan Laptev; Josef Sivic; Heng Wang; Lorenzo Torresani; Du Tran (CVPR Workshops, 2019)

Cross-Task Weakly Supervised Learning From Instructional Videos. - Dimitri Zhukov; Jean-Baptiste Alayrac; Ramazan Gokberk Cinbis; David F. Fouhey; Ivan Laptev; Josef Sivic (CVPR, 2019)

HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips. - Antoine Miech; Dimitri Zhukov; Jean-Baptiste Alayrac; Makarand Tapaswi; Ivan Laptev; Josef Sivic (ICCV, 2019)

Detecting Unseen Visual Relations Using Analogies. - Julia Peyre; Josef Sivic; Ivan Laptev; Cordelia Schmid (ICCV, 2019)

Margin based knowledge distillation for mobile face recognition. - Dmitry Nekhaev; Sergey Milyaev; Ivan Laptev (ICMV, 2019)

Learning to Augment Synthetic Images for Sim2Real Policy Transfer. - Alexander Pashevich; Robin Strudel; Igor Kalevatykh; Ivan Laptev; Cordelia Schmid (IROS, 2019)

Combining learned skills and reinforcement learning for robotic manipulations. - Robin Strudel; Alexander Pashevich; Igor Kalevatykh; Ivan Laptev; Josef Sivic; Cordelia Schmid (CoRR, 2019)

Learning Object Manipulation Skills via Approximate State Estimation from Real Videos. - Vladimír Petrík; Makarand Tapaswi; Ivan Laptev; Josef Sivic (CoRL, 2020)

Learning Obstacle Representations for Neural Motion Planning. - Robin Strudel; Ricardo Garcia 001; Justin Carpentier; Jean-Paul Laumond; Ivan Laptev; Cordelia Schmid (CoRL, 2020)

Action Modifiers: Learning From Adverbs in Instructional Videos. - Hazel Doughty; Ivan Laptev; Walterio W. Mayol-Cuevas; Dima Damen (CVPR, 2020)

Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction. - Yana Hasson; Bugra Tekin; Federica Bogo; Ivan Laptev; Marc Pollefeys; Cordelia Schmid (CVPR, 2020)

Learning Interactions and Relationships Between Movie Characters. - Anna Kukleva; Makarand Tapaswi; Ivan Laptev (CVPR, 2020)

End-to-End Learning of Visual Representations From Uncurated Instructional Videos. - Antoine Miech; Jean-Baptiste Alayrac; Lucas Smaira; Ivan Laptev; Josef Sivic; Andrew Zisserman (CVPR, 2020)

Learning Actionness via Long-Range Temporal Order Verification. - Dimitri Zhukov; Jean-Baptiste Alayrac; Ivan Laptev; Josef Sivic (ECCV (29), 2020)

Learning to combine primitive skills: A step towards versatile robotic manipulation §. - Robin Strudel; Alexander Pashevich; Igor Kalevatykh; Ivan Laptev; Josef Sivic; Cordelia Schmid (ICRA, 2020)

Learning visual policies for building 3D shape categories. - Alexander Pashevich; Igor Kalevatykh; Ivan Laptev; Cordelia Schmid (IROS, 2020)

Occlusion resistant learning of intuitive physics from videos. - Ronan Riochet; Josef Sivic; Ivan Laptev; Emmanuel Dupoux (CoRR, 2020)

The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020). - Samuel Albanie; Yang Liu 105; Arsha Nagrani; Antoine Miech; Ernesto Coto; Ivan Laptev; Rahul Sukthankar; Bernard Ghanem; Andrew Zisserman; Valentin Gabeur; Chen Sun 002; Karteek Alahari; et al. (CoRR, 2020)

RareAct: A video dataset of unusual interactions. - Antoine Miech; Jean-Baptiste Alayrac; Ivan Laptev; Josef Sivic; Andrew Zisserman (CoRR, 2020)

Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning. - Yann Labbé; Sergey Zagoruyko; Igor Kalevatykh; Ivan Laptev; Justin Carpentier; Mathieu Aubry; Josef Sivic (IEEE Robotics Autom. Lett., 2020)

Towards Unconstrained Joint Hand-Object Reconstruction From RGB Videos. - Yana Hasson; Gül Varol; Cordelia Schmid; Ivan Laptev (3DV, 2021)

Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers. - Antoine Miech; Jean-Baptiste Alayrac; Ivan Laptev; Josef Sivic; Andrew Zisserman (CVPR, 2021)

Airbert: In-domain Pretraining for Vision-and-Language Navigation. - Pierre-Louis Guhur; Makarand Tapaswi; Shizhe Chen; Ivan Laptev; Cordelia Schmid (ICCV, 2021)

Segmenter: Transformer for Semantic Segmentation. - Robin Strudel; Ricardo Garcia 001; Ivan Laptev; Cordelia Schmid (ICCV, 2021)

Just Ask: Learning to Answer Questions from Millions of Narrated Videos. - Antoine Yang; Antoine Miech; Josef Sivic; Ivan Laptev; Cordelia Schmid (ICCV, 2021)

Goal-Conditioned Reinforcement Learning with Imagined Subgoals. - Elliot Chane-Sane; Cordelia Schmid; Ivan Laptev (ICML, 2021)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin Ali; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (NeurIPS, 2021)

History Aware Multimodal Transformer for Vision-and-Language Navigation. - Shizhe Chen; Pierre-Louis Guhur; Cordelia Schmid; Ivan Laptev (NeurIPS, 2021)

Differentiable rendering with perturbed optimizers. - Quentin Le Lidec; Ivan Laptev; Cordelia Schmid; Justin Carpentier (NeurIPS, 2021)

Training Vision Transformers for Image Retrieval. - Alaaeldin El-Nouby; Natalia Neverova; Ivan Laptev; Hervé Jégou (CoRR, 2021)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin El-Nouby; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (CoRR, 2021)

Reconstructing and grounding narrated instructional videos in 3D. - Dimitri Zhukov; Ignacio Rocco; Ivan Laptev; Josef Sivic; Johannes L. Schönberger; Bugra Tekin; Marc Pollefeys (CoRR, 2021)

Are Large-scale Datasets Necessary for Self-Supervised Pre-training? - Alaaeldin El-Nouby; Gautier Izacard; Hugo Touvron; Ivan Laptev; Hervé Jégou; Edouard Grave (CoRR, 2021)

Long term spatio-temporal modeling for action detection. - Makarand Tapaswi; Vijay Kumar; Ivan Laptev (Comput. Vis. Image Underst., 2021)

Synthetic Humans for Action Recognition from Unseen Viewpoints. - Gül Varol; Ivan Laptev; Cordelia Schmid; Andrew Zisserman (Int. J. Comput. Vis., 2021)

Differentiable Simulation for Physical System Identification. - Quentin Le Lidec; Igor Kalevatykh; Ivan Laptev; Cordelia Schmid; Justin Carpentier (IEEE Robotics Autom. Lett., 2021)

Instruction-driven history-aware policies for robotic manipulations. - Pierre-Louis Guhur; Shizhe Chen; Ricardo Garcia 001; Makarand Tapaswi; Ivan Laptev; Cordelia Schmid (CoRL, 2022)

Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation. - Shizhe Chen; Pierre-Louis Guhur; Makarand Tapaswi; Cordelia Schmid; Ivan Laptev (CVPR, 2022)

Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos. - Tomás Soucek; Jean-Baptiste Alayrac; Antoine Miech; Ivan Laptev; Josef Sivic (CVPR, 2022)

TubeDETR: Spatio-Temporal Video Grounding with Transformers. - Antoine Yang; Antoine Miech; Josef Sivic; Ivan Laptev; Cordelia Schmid (CVPR, 2022)

Learning from Unlabeled 3D Environments for Vision-and-Language Navigation. - Shizhe Chen; Pierre-Louis Guhur; Makarand Tapaswi; Cordelia Schmid; Ivan Laptev (ECCV (39), 2022)

AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction. - Zerui Chen; Yana Hasson; Cordelia Schmid; Ivan Laptev (ECCV (1), 2022)

Language Conditioned Spatial Relation Reasoning for 3D Object Grounding. - Shizhe Chen; Pierre-Louis Guhur; Makarand Tapaswi; Cordelia Schmid; Ivan Laptev (NeurIPS, 2022)

Zero-Shot Video Question Answering via Frozen Bidirectional Language Models. - Antoine Yang; Antoine Miech; Josef Sivic; Ivan Laptev; Cordelia Schmid (NeurIPS, 2022)

Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems. - Quentin Le Lidec; Louis Montaut; Cordelia Schmid; Ivan Laptev; Justin Carpentier (CoRR, 2022)

Weakly-supervised segmentation of referring expressions. - Robin Strudel; Ivan Laptev; Cordelia Schmid (CoRR, 2022)

Augmenting differentiable physics with randomized smoothing. - Quentin Le Lidec; Louis Montaut; Cordelia Schmid; Ivan Laptev; Justin Carpentier (CoRR, 2022)

Multi-Task Learning of Object State Changes from Uncurated Videos. - Tomás Soucek; Jean-Baptiste Alayrac; Antoine Miech; Ivan Laptev; Josef Sivic (CoRR, 2022)

Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos. - Zongmian Li; Jirí Sedlár; Justin Carpentier; Ivan Laptev; Nicolas Mansard; Josef Sivic (Int. J. Comput. Vis., 2022)

Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation. - Matthieu Futeral; Cordelia Schmid; Ivan Laptev; Benoît Sagot; Rachel Bawden (ACL (1), 2023)

PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation. - Shizhe Chen; Ricardo Garcia 001; Cordelia Schmid; Ivan Laptev (CoRL, 2023)

gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction. - Zerui Chen; Shizhe Chen; Cordelia Schmid; Ivan Laptev (CVPR, 2023)

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning. - Antoine Yang; Arsha Nagrani; Paul Hongsuck Seo; Antoine Miech; Jordi Pont-Tuset; Ivan Laptev; Josef Sivic; Cordelia Schmid (CVPR, 2023)

Learning Video-Conditioned Policies for Unseen Manipulation Tasks. - Elliot Chane-Sane; Cordelia Schmid; Ivan Laptev (ICRA, 2023)

Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control. - Quentin Le Lidec; Wilson Jallet; Ivan Laptev; Cordelia Schmid; Justin Carpentier (ICRA, 2023)

Object Goal Navigation with Recursive Implicit Maps. - Shizhe Chen; Thomas Chabal; Ivan Laptev; Cordelia Schmid (IROS, 2023)

Robust Visual Sim-to-Real Transfer for Robotic Manipulation. - Ricardo Garcia 001; Robin Strudel; Shizhe Chen; Etienne Arlaud; Ivan Laptev; Cordelia Schmid (IROS, 2023)

VidChapters-7M: Video Chapters at Scale. - Antoine Yang; Arsha Nagrani; Ivan Laptev; Josef Sivic; Cordelia Schmid (NeurIPS, 2023)

Image Compression with Product Quantized Masked Image Modeling. - Alaaeldin El-Nouby; Matthew J. Muckley; Karen Ullrich; Ivan Laptev; Jakob Verbeek; Hervé Jégou (Trans. Mach. Learn. Res., 2023)

PairDETR : Joint Detection and Association of Human Bodies and Faces. - Ammar Ali; Georgii Gaikov; Denis Rybalchenko; Alexander Chigorin; Ivan Laptev; Sergey Zagoruyko (CVPR, 2024)

SUGAR : Pre-training 3D Visual Representations for Robotics. - Shizhe Chen; Ricardo Garcia 001; Ivan Laptev; Cordelia Schmid (CVPR, 2024)

GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos. - Tomás Soucek; Dima Damen; Michael Wray; Ivan Laptev; Josef Sivic (CVPR, 2024)

Mitigating Object Hallucination via Concentric Causal Attention. - Yun Xing; Yiheng Li; Ivan Laptev; Shijian Lu (NeurIPS, 2024)

ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos. - Zerui Chen; Shizhe Chen; Cordelia Schmid; Ivan Laptev (CoRR, 2024)

MirrorCheck: Efficient Adversarial Defense for Vision-Language Models. - Samar Fares; Klea Ziu; Toluwani Aremu; Nikita Durasov; Martin Takác 001; Pascal Fua; Karthik Nandakumar; Ivan Laptev (CoRR, 2024)

Short Film Dataset (SFD): A Benchmark for Story-Level Video Understanding. - Ridouane Ghermi; Xi Wang 024; Vicky Kalogeiton; Ivan Laptev (CoRR, 2024)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CoRR, 2024)

MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation. - Harsh Singh; Rocktim Jyoti Das; Mingfei Han 002; Preslav Nakov; Ivan Laptev (CoRR, 2024)

MALT: Improving Reasoning with Multi-Agent LLM Training. - Sumeet Ramesh Motwani; Chandler Smith; Rocktim Jyoti Das; Markian Rybchuk; Philip H. S. Torr; Ivan Laptev; Fabio Pizzati; Ronald Clark; Christian Schröder de Witt (CoRR, 2024)

Multi-Task Learning of Object States and State-Modifying Actions From Web Videos. - Tomás Soucek; Jean-Baptiste Alayrac; Antoine Miech; Ivan Laptev; Josef Sivic (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Contact Models in Robotics: A Comparative Analysis. - Quentin Le Lidec; Wilson Jallet; Louis Montaut; Ivan Laptev; Cordelia Schmid; Justin Carpentier (IEEE Trans. Robotics, 2024)

LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs. - Omkar Thawakar; Dinura Dissanayake; Ketan Pravin More; Ritesh Thawkar; Ahmed Heakl; Noor Ahsan; Yuhao Li; Mohammed Zumri; Jean Lahoud; Rao Muhammad Anwer; Hisham Cholakkal; Ivan Laptev; et al. (ACL (Findings), 2025)

RoomTour3D: Geometry-Aware Video-Instruction Tuning for Embodied Navigation. - Mingfei Han 002; Liang Ma; Kamila Zhumakhanova; Ekaterina Radionova; Jingyi Zhang; Xiaojun Chang; Xiaodan Liang; Ivan Laptev (CVPR, 2025)

ShowHowTo: Generating Scene-Conditioned Step-by-Step Visual Instructions. - Tomás Soucek; Prajwal Gatti; Michael Wray; Ivan Laptev; Dima Damen; Josef Sivic (CVPR, 2025)

All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages. - Ashmal Vayani; Dinura Dissanayake; Hasindri Watawana; Noor Ahsan; Nevasini Sasikumar; Omkar Thawakar; Henok Biadglign Ademtew; Yahya Hmaiti; Amandeep Kumar; Kartik Kuckreja; Mykola Maslych; Wafa Al Ghallabi; et al. (CVPR, 2025)

Learning Feasible Transitions for Efficient Contact Planning. - Rikhat Akizhanov; Victor Dhédin; Majid Khadiv; Ivan Laptev (L4DC, 2025)

DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding. - Ayesha Ishaq; Jean Lahoud; Ketan More; Omkar Thawakar; Ritesh Thawkar; Dinura Dissanayake; Noor Ahsan; Yuhao Li; Fahad Shahbaz Khan; Hisham Cholakkal; Ivan Laptev; Rao Muhammad Anwer; et al. (CoRR, 2025)

ScanEdit: Hierarchically-Guided Functional 3D Scan Editing. - Mohamed El Amine Boudjoghra; Ivan Laptev; Angela Dai (CoRR, 2025)

Learning to Answer Visual Questions From Web Videos. - Antoine Yang; Antoine Miech; Josef Sivic; Ivan Laptev; Cordelia Schmid (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Towards Reliable Identification of Diffusion-based Image Manipulations. - Alex Costanzino; Woody Bayliss; Juil Sock; Marc Górriz Blanch; Danijela Horak; Ivan Laptev; Philip Torr 001; Fabio Pizzati (CoRR, 2025)

A Culturally-diverse Multilingual Multimodal Video Benchmark & Model. - Bhuiyan Sanjid Shafique; Ashmal Vayani; Muhammad Maaz 001; Hanoona Abdul Rasheed; Dinura Dissanayake; Mohammed Irfan Kurpath; Yahya Hmaiti; Go Inoue; Jean Lahoud; Md. Safirur Rashid; Shadid Intisar Quasem; Maheen Fatima; et al. (CoRR, 2025)

PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly. - Liang Ma; Jiajun Wen 003; Min Lin; Rongtao Xu; Xiwen Liang; Bingqian Lin; Jun Ma; Yongxin Wang; Ziming Wei; Haokun Lin; Mingfei Han 002; Meng Cao; et al. (CoRR, 2025)