← Authors

Stefano Soatto

123 papers · 2006–2025 · 15 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer πŸƒ Academic Marathon (19) 🌈 Renaissance Researcher (8) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (15) 🏠 Conference Loyalist (55) 🌟 Keyword Trendsetter Combo (13) 🀝 Dynamic Duo (33) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ† Keyword Champion πŸ† Grand Slam πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (451) ⚑ Prolific Year (15) πŸ’Ž Century Club (123) πŸ”₯ Unstoppable (16)

Conferences

CVPR (55) NIPS (18) ICLR (14) ECCV (11) ICCV (11) AAAI (4) ICML (2) ACL (1) AISTATS (1) CORL (1) EMNLP (1) IJCAI (1) IJCNLP (1) JMLR (1) WACV (1)

Top co-authors

Alessandro Achille (33) Avinash Ravichandran (21) Alex Wong (14) Zhuowen Tu (12) Aditya Golatkar (12) Luca Zancato (11) Yanchao Yang (10) Rahul Bhotika (10) Yuanjun Xiong (9) Tian Yu Liu (9)

Research topics

Privacy (1)

Keywords

depth estimation (9) representation learning (9) unsupervised learning (8) semantic segmentation (7) transfer learning (7) image classification (6) knowledge distillation (6) domain adaptation (5) optical flow (5) deep neural network (5) self-supervised learning (5) 3d reconstruction (4) vision-language model (4) adversarial perturbation (4) machine unlearning (4) zero-shot learning (4) semi-supervised learning (4) few-shot learning (4) convex optimization (3) disparity estimation (3)

Papers

Scaling up Image Segmentation across Data and Tasks CVPR 2025
PICASO: Permutation-Invariant Context Composition with State Space Models ICLR 2025
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding CVPR 2024
Enhancing Vision-Language Pre-training with Rich Supervisions CVPR 2024
WorDepth: Variational Language Prior for Monocular Depth Estimation CVPR 2024
THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models CVPR 2024
Non-autoregressive Sequence-to-Sequence Vision-Language Models CVPR 2024
Multi-Modal Hallucination Control by Visual Information Grounding CVPR 2024
On the Scalability of Diffusion-based Text-to-Image Generation CVPR 2024
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions NIPS 2024
CPR: Retrieval Augmented Generation for Copyright Protection CVPR 2024
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory NIPS 2024
Fewer Truncations Improve Language Modeling ICML 2024
Meaning Representations from Trajectories in Autoregressive Models ICLR 2024
Critical Learning Periods Emerge Even in Deep Linear Networks ICLR 2024
Tangent Transformers for Composition,Privacy and Removal ICLR 2024
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models EMNLP 2024
AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation ECCV 2024
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models ECCV 2024
On the Viability of Monocular Depth Pre-training for Semantic Segmentation ECCV 2024
Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation CVPR 2024
Sub-token ViT Embedding via Stochastic Resonance Transformers ICML 2024
Harnessing Unrecognizable Faces for Improving Face Recognition WACV 2023
Graph Spectral Embedding using the Geodesic Betweenness Centrality AISTATS 2023
Masked Vision and Language Modeling for Multi-modal Representation Learning ICLR 2023
Guided Recommendation for Model Fine-Tuning CVPR 2023
Train/Test-Time Adaptation With Retrieval CVPR 2023
A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting CVPR 2023
Gacs-Korner Common Information Variational Autoencoder NIPS 2023
A Meta-Learning Approach to Predicting Performance and Data Requirements CVPR 2023
Critical Learning Periods for Multisensory Integration in Deep Networks CVPR 2023
Tangent Model Composition for Ensembling and Continual Fine-tuning ICCV 2023
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models ICCV 2023
SAFE: Machine Unlearning With Shard Graphs ICCV 2023
Your representations are in the network: composable and parallel adaptation for large scale models NIPS 2023
Leveraging sparse and shared feature activations for disentangled representation learning NIPS 2023
Depth Estimation From Camera Image and mmWave Radar Point Cloud CVPR 2023
On Leave-One-Out Conditional Mutual Information For Generalization NIPS 2022
Class-Incremental Learning With Strong Pre-Trained Models CVPR 2022
Task Adaptive Parameter Sharing for Multi-Task Learning CVPR 2022
DIVA: Dataset Derivative of a Learning Task ICLR 2022
MeMOT: Multi-Object Tracking With Memory CVPR 2022
Omni-DETR: Omni-Supervised Object Detection With Transformers CVPR 2022
Stereoscopic Universal Perturbations Across Different Architectures and Datasets CVPR 2022
X-DETR: A Versatile Architecture for Instance-Wise Vision-Language Tasks ECCV 2022
Not Just Streaks: Towards Ground Truth for Single Image Deraining ECCV 2022
Semi-supervised Vision Transformers at Scale NIPS 2022
Mixed Differential Privacy in Computer Vision CVPR 2022
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited ICCV 2021
Long Short-Term Transformer for Online Action Detection NIPS 2021
Uniform Sampling over Episode Difficulty NIPS 2021
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning CVPR 2021
Mixed-Privacy Forgetting in Deep Networks CVPR 2021
Compatibility-Aware Heterogeneous Visual Search CVPR 2021
LQF: Linear Quadratic Fine-Tuning CVPR 2021
Positive-Congruent Training: Towards Regression-Free Model Updates CVPR 2021
Dynamically Grown Generative Adversarial Networks AAAI 2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates ACL 2021
Unsupervised Depth Completion With Calibrated Backprojection Layers ICCV 2021
Visual Relationship Detection Using Part-and-Sum Transformers With Composite Queries ICCV 2021
Estimating informativeness of samples with Smooth Unique Information ICLR 2021
Structured Prediction as Translation between Augmented Natural Languages ICLR 2021
DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping CVPR 2021
Learning Semantic-Aware Dynamics for Video Prediction CVPR 2021
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations AAAI 2021
Learning Hierarchical Graph Neural Networks for Image Clustering ICCV 2021
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates IJCNLP 2021
Rethinking the Hyperparameters for Fine-tuning ICLR 2020
Predicting Training Time Without Training NIPS 2020
Targeted Adversarial Perturbations for Monocular Depth Prediction NIPS 2020
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction NIPS 2020
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning CORL 2020
Zero Shot Learning with the Isoperimetric Loss AAAI 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation CVPR 2020
Towards Backward-Compatible Representation Learning CVPR 2020
Learning to Manipulate Individual Objects in an Image CVPR 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks CVPR 2020
Phase Consistent Ecological Domain Adaptation CVPR 2020
Incremental Few-Shot Meta-Learning via Indirect Discriminant Alignment ECCV 2020
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations ECCV 2020
A Baseline for Few-Shot Image Classification ICLR 2020
Meta-Q-Learning ICLR 2020
Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training ICCV 2019
Unsupervised Domain Adaptation via Regularized Conditional Alignment ICCV 2019
Task2Vec: Task Embedding for Meta-Learning ICCV 2019
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction CVPR 2019
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence NIPS 2019
Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors AAAI 2019
Unsupervised Moving Object Detection via Contextual Information Separation CVPR 2019
GeoNet: Deep Geodesic Networks for Point Cloud Analysis CVPR 2019
Dense Depth Posterior (DDP) From Single Image and Sparse Range CVPR 2019
Critical Learning Periods in Deep Networks ICLR 2019
Meta-Learning With Differentiable Convex Optimization CVPR 2019
Emergence of Invariance and Disentanglement in Deep Representations JMLR 2018
Empirical Study of the Topology and Geometry of Deep Networks CVPR 2018
OATM: Occlusion Aware Template Matching by Consensus Set Maximization CVPR 2018
Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification ECCV 2018
Visual-Inertial Object Detection and Mapping ECCV 2018
Conditional Prior Networks for Optical Flow ECCV 2018
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks ICLR 2018
Robustness of Classifiers to Universal Perturbations: A Geometric Perspective ICLR 2018
SaaS: Speed as a Supervisor for Semi-supervised Learning ECCV 2018
Visual-Inertial-Semantic Scene Representation for 3D Object Detection CVPR 2017
Zero Shot Learning via Multi-Scale Manifold Regularization CVPR 2017
S2F: Slow-To-Fast Interpolator Flow CVPR 2017
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability CVPR 2016
Observability, Identifiability and Sensitivity of Vision-Aided Inertial Navigation IJCAI 2016
Texture Representations for Image and Video Synthesis CVPR 2015
Self-Occlusions and Disocclusions in Causal Video Object Segmentation ICCV 2015
Domain-Size Pooling in Local Descriptors: DSP-SIFT CVPR 2015
Causal Video Object Segmentation From Persistence of Occlusions CVPR 2015
Multi-View Feature Engineering and Learning CVPR 2015
Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo CVPR 2015
Second-Order Shape Optimization for Geometric Inverse Problems in Vision CVPR 2014
Asymmetric Sparse Kernel Approximations for Large-scale Visual Search CVPR 2014
Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation CVPR 2014
CLAM: Coupled Localization and Mapping with Efficient Outlier Handling CVPR 2013
Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques CVPR 2013
Controlled Recognition Bounds for Visual Learning and Exploration NIPS 2012
Multiple Instance Filtering NIPS 2011
Occlusion Detection and Motion Estimation with Convex Optimization NIPS 2010
A Complexity-Distortion Approach to Joint Pattern Alignment NIPS 2006
Detecting Humans via Their Pose NIPS 2006