Thomas Serre - RankMe

130 papers A* 32A 4B 1Misc 2Journal 71Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contrastive Knowledge Distillation for Embedding Refinement in Personalized Speech Enhancement. CoRR Thomas Serre, Mathieu Fontaine, Éric Benhaim, Slim Essid
2025	J	`jnl`	Better artificial intelligence does not mean better models of biology. CoRR Drew Linsley, Pinyuan Feng, Thomas Serre
2025	Misc	`conf`	Contrastive Knowledge Distillation for Embedding Refinement in Personalized Speech Enhancement. ICASSP Thomas Serre, Mathieu Fontaine, Éric Benhaim, Slim Essid
2025	J	`jnl`	Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics. CoRR Sabine Muzellec, Andrea Alamia, Thomas Serre, Rufin VanRullen
2025	J	`jnl`	Enhancing deep neural networks through complex-valued representations and Kuramoto synchronization dynamics. Trans. Mach. Learn. Res. Sabine Muzellec, Andrea Alamia, Thomas Serre, Rufin VanRullen
2025	J	`jnl`	Evaluating Dogs' Real-World Visual Environment and Attention. Cogn. Sci. Madeline H. Pelgrim, Shreyas Sundara Raman, Thomas Serre, Daphna Buchsbaum
2025	J	`jnl`	Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models. CoRR Louis Béthune, David Vigouroux, Yilun Du, Rufin VanRullen, Thomas Serre, Victor Boutin
2025	J	`jnl`	From Prediction to Understanding: Will AI Foundation Models Transform Brain Science? CoRR Thomas Serre, Ellie Pavlick
2025	J	`jnl`	GASPnet: Global Agreement to Synchronize Phases. CoRR Andrea Alamia, Sabine Muzellec, Thomas Serre, Rufin VanRullen
2025	J	`jnl`	Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility. CoRR Michael A. Lepori, Jennifer Hu, Ishita Dasgupta, Roma Patel, Thomas Serre, Ellie Pavlick
2025	A	`conf`	MTSE: Multi-Target Speaker Extraction for Conversation Scenarios. INTERSPEECH Thomas Serre, Mathieu Fontaine, Eric Benhaim, Slim Essid
2025	A*	`conf`	The 3D-PC: a benchmark for visual perspective taking in humans and machines. ICLR Drew Linsley, Peisen Zhou, Alekh Karkada Ashok, Akash Nagaraj, Gaurav Gaonkar, Francis E. Lewis, Zygmunt Pizlo, Thomas Serre
2025	A*	`conf`	Tracking objects that change in appearance with phase synchrony. ICLR Sabine Muzellec, Drew Linsley, Alekh Karkada Ashok, Ennio Mingolla, Girik Malik, Rufin VanRullen, Thomas Serre
2024	—	`conf`	A Lightweight Dual-Stage Framework for Personalized Speech Enhancement Based on Deepfilternet2. ICASSP Workshops Thomas Serre, Mathieu Fontaine, Éric Benhaim, Geoffroy Dutour, Slim Essid
2024	J	`jnl`	A lightweight dual-stage framework for personalized speech enhancement based on DeepFilterNet2. CoRR Thomas Serre, Mathieu Fontaine, Éric Benhaim, Geoffroy Dutour, Slim Essid
2024	A*	`conf`	Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. NeurIPS Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick
2024	J	`jnl`	Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects. CoRR Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick
2024	A*	`conf`	Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks. NeurIPS Victor Boutin, Rishav Mukherji, Aditya Agrawal, Sabine Muzellec, Thomas Fel, Thomas Serre, Rufin VanRullen
2024	J	`jnl`	Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks. CoRR Victor Boutin, Rishav Mukherji, Aditya Agrawal, Sabine Muzellec, Thomas Fel, Thomas Serre, Rufin VanRullen
2024	J	`jnl`	Local vs distributed representations: What is the right basis for interpretability? CoRR Julien Colin, Lore Goetschalckx, Thomas Fel, Victor Boutin, Jay Gopal, Thomas Serre, Nuria Oliver
2024	A*	`conf`	RTify: Aligning Deep Neural Networks with Human Behavioral Decisions. NeurIPS Yu-Ang Cheng, Ivan F. Rodriguez Rodriguez, Sixuan Chen, Kohitij Kar, Takeo Watanabe, Thomas Serre
2024	J	`jnl`	RTify: Aligning Deep Neural Networks with Human Behavioral Decisions. CoRR Yu-Ang Cheng, Ivan Felipe Rodríguez, Sixuan Chen, Kohitij Kar, Takeo Watanabe, Thomas Serre
2024	A*	`conf`	Saliency strikes back: How filtering out high frequencies improves white-box explanations. ICML Sabine Muzellec, Thomas Fel, Victor Boutin, Léo Andéol, Rufin VanRullen, Thomas Serre
2024	J	`jnl`	The 3D-PC: a benchmark for visual perspective taking in humans and machines. CoRR Drew Linsley, Peisen Zhou, Alekh Karkada Ashok, Akash Nagaraj, Gaurav Gaonkar, Francis E. Lewis, Zygmunt Pizlo, Thomas Serre
2024	J	`jnl`	Tracking objects that change in appearance with phase synchrony. CoRR Sabine Muzellec, Drew Linsley, Alekh Karkada Ashok, Ennio Mingolla, Girik Malik, Rufin VanRullen, Thomas Serre
2024	A*	`conf`	Understanding Visual Feature Reliance through the Lens of Complexity. NeurIPS Thomas Fel, Louis Béthune, Andrew K. Lampinen, Thomas Serre, Katherine L. Hermann
2024	J	`jnl`	Understanding Visual Feature Reliance through the Lens of Complexity. CoRR Thomas Fel, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre, Katherine L. Hermann
2023	A*	`conf`	A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. NeurIPS Thomas Fel, Victor Boutin, Louis Béthune, Rémi Cadène, Mazda Moayeri, Léo Andéol, Mathieu Chalvidal, Thomas Serre
2023	J	`jnl`	A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation. CoRR Thomas Fel, Victor Boutin, Mazda Moayeri, Rémi Cadène, Louis Béthune, Léo Andéol, Mathieu Chalvidal, Thomas Serre
2023	J	`jnl`	Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception. CoRR Drew Linsley, Pinyuan Feng, Thibaut Boissin, Alekh Karkada Ashok, Thomas Fel, Stephanie Olaiya, Thomas Serre
2023	A*	`conf`	Break It Down: Evidence for Structural Compositionality in Neural Networks. NeurIPS Michael A. Lepori, Thomas Serre, Ellie Pavlick
2023	J	`jnl`	Break It Down: Evidence for Structural Compositionality in Neural Networks. CoRR Michael A. Lepori, Thomas Serre, Ellie Pavlick
2023	A*	`conf`	CRAFT: Concept Recursive Activation FacTorization for Explainability. CVPR Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre
2023	J	`jnl`	Categorizing the Visual Environment and Analyzing the Visual Attention of Dogs. CoRR Shreyas Sundara Raman, Madeline H. Pelgrim, Daphna Buchsbaum, Thomas Serre
2023	A*	`conf`	Computing a human-like reaction time metric from stable recurrent vision models. NeurIPS Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok, Aarit Ahuja, David L. Sheinberg, Thomas Serre
2023	J	`jnl`	Computing a human-like reaction time metric from stable recurrent vision models. CoRR Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok, Aarit Ahuja, David L. Sheinberg, Thomas Serre
2023	J	`jnl`	Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning. CoRR Lakshmi Narasimhan Govindarajan, Rex G. Liu, Drew Linsley, Alekh Karkada Ashok, Max Reuter, Michael J. Frank, Thomas Serre
2023	A*	`conf`	Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? ICML Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre
2023	J	`jnl`	Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? CoRR Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre
2023	A*	`conf`	Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. CVPR Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodème, Thomas Serre
2023	J	`jnl`	Fixing the problems of deep neural networks will require better training data and learning algorithms. CoRR Drew Linsley, Thomas Serre
2023	A*	`conf`	GAMR: A Guided Attention Model for (visual) Reasoning. ICLR Mohit Vaishnav, Thomas Serre
2023	J	`jnl`	Gradient strikes back: How filtering out high frequencies improves explanations. CoRR Sabine Muzellec, Léo Andéol, Thomas Fel, Rufin VanRullen, Thomas Serre
2023	A*	`conf`	Learning Functional Transduction. NeurIPS Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
2023	J	`jnl`	Learning Functional Transduction. CoRR Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
2023	J	`jnl`	NeuroSurgeon: A Toolkit for Subnetwork Analysis. CoRR Michael A. Lepori, Ellie Pavlick, Thomas Serre
2023	A*	`conf`	Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex. NeurIPS Drew Linsley, Ivan F. Rodriguez Rodriguez, Thomas Fel, Michael Arcaro, Saloni Sharma, Margaret S. Livingstone, Thomas Serre
2023	J	`jnl`	Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex. CoRR Drew Linsley, Ivan Felipe Rodríguez, Thomas Fel, Michael Arcaro, Saloni Sharma, Margaret S. Livingstone, Thomas Serre
2023	J	`jnl`	Uncovering Intermediate Variables in Transformers using Circuit Probing. CoRR Michael A. Lepori, Thomas Serre, Ellie Pavlick
2023	A*	`conf`	Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization. NeurIPS Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin M. Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Lore Goetschalckx, Laurent Gardes, Thomas Serre
2023	J	`jnl`	Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization. CoRR Thomas Fel, Thibaut Boissin, Victor Boutin, Agustin Martin Picard, Paul Novello, Julien Colin, Drew Linsley, Tom Rousseau, Rémi Cadène, Laurent Gardes, Thomas Serre
2022	A*	`conf`	A Benchmark for Compositional Visual Reasoning. NeurIPS Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre
2022	J	`jnl`	A Benchmark for Compositional Visual Reasoning. CoRR Aimen Zerroug, Mohit Vaishnav, Julien Colin, Sebastian Musslick, Thomas Serre
2022	J	`jnl`	A Discourse on MetODS: Meta-Optimized Dynamical Synapses for Meta-Reinforcement Learning. CoRR Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
2022	J	`jnl`	CRAFT: Concept Recursive Activation FacTorization for Explainability. CoRR Thomas Fel, Agustin Martin Picard, Louis Béthune, Thibaut Boissin, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre
2022	J	`jnl`	Conviformers: Convolutionally guided Vision Transformer. CoRR Mohit Vaishnav, Thomas Fel, Ivan Felipe Rodríguez, Thomas Serre
2022	A*	`conf`	Diversity vs. Recognizability: Human-like generalization in one-shot generative models. NeurIPS Victor Boutin, Lakshya Singhal, Xavier Thomas, Thomas Serre
2022	J	`jnl`	Diversity vs. Recognizability: Human-like generalization in one-shot generative models. CoRR Victor Boutin, Lakshya Singhal, Xavier Thomas, Thomas Serre
2022	J	`jnl`	Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis. CoRR Thomas Fel, Melanie Ducoffe, David Vigouroux, Rémi Cadène, Mikael Capelle, Claire Nicodeme, Thomas Serre
2022	A*	`conf`	Harmonizing the object recognition strategies of deep neural networks with humans. NeurIPS Thomas Fel, Ivan F. Rodriguez Rodriguez, Drew Linsley, Thomas Serre
2022	J	`jnl`	Harmonizing the object recognition strategies of deep neural networks with humans. CoRR Thomas Fel, Ivan Felipe Rodríguez, Drew Linsley, Thomas Serre
2022	A	`conf`	How Good is your Explanation? Algorithmic Stability Measures to Assess the Quality of Explanations for Deep Neural Networks. WACV Thomas Fel, David Vigouroux, Rémi Cadène, Thomas Serre
2022	A	`conf`	How and What to Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition. WACV Amor Ben Tanfous, Aimen Zerroug, Drew Linsley, Thomas Serre
2022	J	`jnl`	MAREO: Memory- and Attention- based visual REasOning. CoRR Mohit Vaishnav, Thomas Serre
2022	A*	`conf`	Meta-Reinforcement Learning with Self-Modifying Networks. NeurIPS Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
2022	J	`jnl`	Understanding the Computational Demands Underlying Visual Reasoning. Neural Comput. Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
2022	A*	`conf`	What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. NeurIPS Julien Colin, Thomas Fel, Rémi Cadène, Thomas Serre
2022	J	`jnl`	Xplique: A Deep Learning Explainability Toolbox. CoRR Thomas Fel, Lucas Hervier, David Vigouroux, Antonin Poché, Justin Plakoo, Rémi Cadène, Mathieu Chalvidal, Julien Colin, Thibaut Boissin, Louis Béthune, Agustin Martin Picard, Claire Nicodeme, Laurent Gardes, Grégory Flandin, Thomas Serre
2021	A*	`conf`	Go with the flow: Adaptive control for Neural ODEs. ICLR Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre
2021	J	`jnl`	KuraNet: Systems of Coupled Oscillators that Learn to Synchronize. CoRR Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre
2021	A*	`conf`	Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis. NeurIPS Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre
2021	J	`jnl`	Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis. CoRR Thomas Fel, Rémi Cadène, Mathieu Chalvidal, Matthieu Cord, David Vigouroux, Thomas Serre
2021	J	`jnl`	The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks. CoRR Girik Malik, Drew Linsley, Thomas Serre, Ennio Mingolla
2021	A*	`conf`	Tracking Without Re-recognition in Humans and Machines. NeurIPS Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi Narasimhan Govindarajan, Ennio Mingolla, Thomas Serre
2021	J	`jnl`	Tracking Without Re-recognition in Humans and Machines. CoRR Drew Linsley, Girik Malik, Junkyung Kim, Lakshmi Narasimhan Govindarajan, Ennio Mingolla, Thomas Serre
2021	J	`jnl`	Understanding the computational demands underlying visual reasoning. CoRR Mohit Vaishnav, Rémi Cadène, Andrea Alamia, Drew Linsley, Rufin VanRullen, Thomas Serre
2021	J	`jnl`	What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods. CoRR Thomas Fel, Julien Colin, Rémi Cadène, Thomas Serre
2020	A*	`conf`	Disentangling neural mechanisms for perceptual grouping. ICLR Junkyung Kim, Drew Linsley, Kalpit Thakkar, Thomas Serre
2020	J	`jnl`	Iterative VAE as a predictive brain model for out-of-distribution generalization. CoRR Victor Boutin, Aimen Zerroug, Minju Jung, Thomas Serre
2020	J	`jnl`	Neural Optimal Control for Representation Learning. CoRR Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre
2020	A*	`conf`	Recurrent neural circuits for contour detection. ICLR Drew Linsley, Junkyung Kim, Alekh Ashok, Thomas Serre
2020	J	`jnl`	Recurrent neural circuits for contour detection. CoRR Drew Linsley, Junkyung Kim, Alekh Ashok, Thomas Serre
2020	A*	`conf`	Stable and expressive recurrent vision models. NeurIPS Drew Linsley, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan, Rex G. Liu, Thomas Serre
2020	J	`jnl`	Stable and expressive recurrent vision models. CoRR Drew Linsley, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan, Rex G. Liu, Thomas Serre
2019	J	`jnl`	Disentangling neural mechanisms for perceptual grouping. CoRR Junkyung Kim, Drew Linsley, Kalpit Thakkar, Thomas Serre
2019	—	`conf`	Learning what and where to attend. ICLR (Poster) Drew Linsley, Dan Shiebler, Sven Eberhardt, Thomas Serre
2018	J	`jnl`	Global-and-local attention networks for visual recognition. CoRR Drew Linsley, Dan Scheibler, Sven Eberhardt, Thomas Serre
2018	A*	`conf`	Learning long-range spatial dependencies with horizontal gated recurrent units. NeurIPS Drew Linsley, Junkyung Kim, Vijay Veerabadran, Charles Windolf, Thomas Serre
2018	J	`jnl`	Learning long-range spatial dependencies with horizontal gated-recurrent units. CoRR Drew Linsley, Junkyung Kim, Vijay Veerabadran, Thomas Serre
2018	Misc	`conf`	Learning to predict action potentials end-to-end from calcium imaging data. CISS Drew Linsley, Jeremy W. Linsley, Tarun Sharma, Nathan Meyers, Thomas Serre
2018	J	`jnl`	Not-So-CLEVR: Visual Relations Strain Feedforward Neural Networks. CoRR Matthew Ricci, Junkyung Kim, Thomas Serre
2018	J	`jnl`	Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks. CoRR Drew Linsley, Junkyung Kim, David Berson, Thomas Serre
2018	J	`jnl`	Robust pose tracking with a joint model of appearance and shape. CoRR Yuliang Guo, Lakshmi Narasimhan Govindarajan, Benjamin B. Kimia, Thomas Serre
2018	B	`conf`	Same-different problems strain convolutional neural networks. CogSci Matthew Ricci, Junkyung Kim, Thomas Serre
2017	J	`jnl`	Clicktionary: A Web-based Game for Exploring the Atoms of Object Recognition. CoRR Drew Linsley, Sven Eberhardt, Tarun Sharma, Pankaj Gupta, Thomas Serre
2017	—	`conf`	What are the Visual Features Underlying Human Versus Machine Vision? ICCV Workshops Drew Linsley, Sven Eberhardt, Tarun Sharma, Pankaj Gupta, Thomas Serre
2016	A	`conf`	An end-to-end generative framework for video segmentation and recognition. WACV Hilde Kuehne, Juergen Gall, Thomas Serre
2016	J	`jnl`	Computer vision cracks the leaf code. Proc. Natl. Acad. Sci. USA Peter Wilf, Shengping Zhang, Sharat Chikkerur, Stefan A. Little, Scott L. Wing, Thomas Serre
2016	J	`jnl`	Fast ventral stream neural activity enables rapid visual categorization. NeuroImage Maxime Cauchoix, Sébastien M. Crouzet, Denis Fize, Thomas Serre
2016	—	`conf`	How Deep is the Feature Analysis underlying Rapid Visual Categorization? NIPS Sven Eberhardt, Jonah G. Cader, Thomas Serre
2016	J	`jnl`	How Deep is the Feature Analysis underlying Rapid Visual Categorization? CoRR Sven Eberhardt, Jonah Cader, Thomas Serre
2015	J	`jnl`	Cooking in the kitchen: A generative approach to the recognition, parsing and segmentation of human daily activities. CoRR Hilde Kuehne, Thomas Serre
2015	J	`jnl`	Explaining the Timing of Natural Scene Understanding with a Computational Model of Perceptual Categorization. PLoS Comput. Biol. Imri Sofer, Sébastien M. Crouzet, Thomas Serre
2015	J	`jnl`	Towards a generative approach to activity recognition and segmentation. CoRR Hilde Kuehne, Thomas Serre
2015	J	`jnl`	Unsupervised invariance learning of transformation sequences in a model of object recognition yields selectivity for non-accidental properties. Frontiers Comput. Neurosci. Sarah M. Parker, Thomas Serre
2014	—	`ch.`	Hierarchical Models of the Visual System. Encyclopedia of Computational Neuroscience Thomas Serre
2014	—	`conf`	Learning Sparse Prototypes for Crowd Perception via Ensemble Coding Mechanisms. HBU Yanhao Zhang, Shengping Zhang, Qingming Huang, Thomas Serre
2014	—	`conf`	Neuronal Synchrony in Complex-Valued Deep Networks. ICLR (Poster) David P. Reichert, Thomas Serre
2014	A*	`conf`	The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities. CVPR Hilde Kuehne, Ali Bilgin Arslan, Thomas Serre
2013	J	`jnl`	Models of visual cortex. Scholarpedia Tomaso A. Poggio, Thomas Serre
2013	—	`conf`	Neural representation of action sequences: how far can a simple snippet-matching model take us? NIPS Cheston Tan, Jedediah M. Singer, Thomas Serre, David L. Sheinberg, Tomaso A. Poggio
2012	—	`conf`	A New Biologically Inspired Color Image Descriptor. ECCV (5) Jun Zhang, Youssef Barhomi, Thomas Serre
2011	—	`conf`	Attention as a Bayesian inference process. Human Vision and Electronic Imaging Sharat Chikkerur, Thomas Serre, Cheston Tan, Tomaso A. Poggio
2011	A*	`conf`	HMDB: A large video database for human motion recognition. ICCV Hildegard Kuehne, Hueihan Jhuang, Estíbaliz Garrote, Tomaso A. Poggio, Thomas Serre
2011	—	`conf`	The Neural Dynamics of Visual Processing in Monkey Extrastriate Cortex: A Comparison between Univariate and Multivariate Techniques. MLINI Maxime Cauchoix, Ali Bilgin Arslan, Denis Fize, Thomas Serre
2010	J	`jnl`	A neuromorphic approach to computer vision. Commun. ACM Thomas Serre, Tomaso A. Poggio
2010	J	`jnl`	Reading the mind's eye: Decoding category information during mental imagery. NeuroImage Leila Reddy, Naotsugu Tsuchiya, Thomas Serre
2010	—	`conf`	The story of a single cell: Peeking into the semantics of spikes. CIP Roi Kliper, Thomas Serre, Daphna Weinshall, Israel Nelken
2010	—	`conf`	Trainable, vision-based automated home cage behavioral phenotyping. MB Hueihan Jhuang, Estíbaliz Garrote, Nicholas Edelman, Tomaso A. Poggio, Andrew Steele, Thomas Serre
2007	A*	`conf`	A Biologically Inspired System for Action Recognition. ICCV Hueihan Jhuang, Thomas Serre, Lior Wolf, Tomaso A. Poggio
2007	J	`jnl`	A Component-based Framework for Face Detection and Identification. Int. J. Comput. Vis. Bernd Heisele, Thomas Serre, Tomaso A. Poggio
2007	J	`jnl`	Robust Object Recognition with Cortex-Like Mechanisms. IEEE Trans. Pattern Anal. Mach. Intell. Thomas Serre, Lior Wolf, Stanley M. Bileschi, Maximilian Riesenhuber, Tomaso A. Poggio
2005	—	`conf`	Learning Features of Intermediate Complexity for the Recognition of Biological Motion. ICANN (1) Rodrigo Sigala, Thomas Serre, Tomaso A. Poggio, Martin A. Giese
2005	—	`conf`	Object Recognition with Features Inspired by Visual Cortex. CVPR (2) Thomas Serre, Lior Wolf, Tomaso A. Poggio
2004	—	`conf`	Using Component Features for Face Recognition. FGR Yuri Ivanov, Bernd Heisele, Thomas Serre
2003	J	`jnl`	Hierarchical classification and feature reduction for fast face detection with support vector machines. Pattern Recognit. Bernd Heisele, Thomas Serre, Sam Prentice, Tomaso A. Poggio
2002	—	`conf`	On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision. Biologically Motivated Computer Vision Thomas Serre, Maximilian Riesenhuber, Jennifer Louie, Tomaso A. Poggio
2001	—	`conf`	Categorization by Learning and Combining Object Parts. NIPS Bernd Heisele, Thomas Serre, Massimiliano Pontil, Thomas Vetter, Tomaso A. Poggio
2001	—	`conf`	Component-based Face Detection. CVPR (1) Bernd Heisele, Thomas Serre, Massimiliano Pontil, Tomaso A. Poggio
2001	—	`conf`	Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images. CVPR (2) Bernd Heisele, Thomas Serre, Sayan Mukherjee, Tomaso A. Poggio