Thomas Serre
35 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (12)
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Cross-Pollinator
(12)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(50)
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Conference Loyalist
(21)
π§¬
Topic Evolution
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Triple Crown
π€
Dynamic Duo
(13)
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Keyword Champion
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Trend Setter
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(127)
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Century Club
(35)
π₯
Unstoppable
(8)
β
The Questioner
(4)
Conferences
NIPS (21)
ICLR (7)
CVPR (3)
ICML (2)
WACV (2)
Top co-authors
Keywords
visual feature
(4)
representation learning
(4)
recurrent neural network
(3)
attribution method
(3)
deep neural network
(3)
one-shot learning
(3)
object recognition
(3)
image generation
(2)
action recognition
(2)
reaction time
(2)
image classification
(2)
temporal modeling
(2)
concept extraction
(2)
contrastive learning
(2)
visual processing
(2)
neural network interpretability
(2)
self-supervised learning
(2)
video understanding
(2)
convolutional neural network
(2)
explainability method
(2)
Papers
Tracking objects that change in appearance with phase synchrony
ICLR 2025
The 3D-PC: a benchmark for visual perspective taking in humans and machines
ICLR 2025
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions
NIPS 2024
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
NIPS 2024
Saliency strikes back: How filtering out high frequencies improves white-box explanations
ICML 2024
Understanding Visual Feature Reliance through the Lens of Complexity
NIPS 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
NIPS 2024
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
ICML 2023
CRAFT: Concept Recursive Activation FacTorization for Explainability
CVPR 2023
Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis
CVPR 2023
GAMR: A Guided Attention Model for (visual) Reasoning
ICLR 2023
Computing a human-like reaction time metric from stable recurrent vision models
NIPS 2023
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
NIPS 2023
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization
NIPS 2023
Break It Down: Evidence for Structural Compositionality in Neural Networks
NIPS 2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
NIPS 2023
Learning Functional Transduction
NIPS 2023
How and What To Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition
WACV 2022
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods
NIPS 2022
Meta-Reinforcement Learning with Self-Modifying Networks
NIPS 2022
Harmonizing the object recognition strategies of deep neural networks with humans
NIPS 2022
Diversity vs. Recognizability: Human-like generalization in one-shot generative models
NIPS 2022
A Benchmark for Compositional Visual Reasoning
NIPS 2022
How Good Is Your Explanation? Algorithmic Stability Measures To Assess the Quality of Explanations for Deep Neural Networks
WACV 2022
Go with the flow: Adaptive control for Neural ODEs
ICLR 2021
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis
NIPS 2021
Tracking Without Re-recognition in Humans and Machines
NIPS 2021
Stable and expressive recurrent vision models
NIPS 2020
Recurrent neural circuits for contour detection
ICLR 2020
Disentangling neural mechanisms for perceptual grouping
ICLR 2020
Learning what and where to attend
ICLR 2019
Learning long-range spatial dependencies with horizontal gated recurrent units
NIPS 2018
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
NIPS 2016
The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities
CVPR 2014
Neural representation of action sequences: how far can a simple snippet-matching model take us?
NIPS 2013