Antonio Torralba
Faculty Head, AI+D; Delta Electronics Professor
Studies computer vision, machine learning, and human visual perception, including multisensory perception and understanding neural networks.
Antonio Torralba's lab at MIT works on recognition, detection & segmentation and robot perception & SLAM. 30 papers since 2023, 21 at top venues, mostly CVPR and ICML. 46 alumni. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 70%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 46
Papers by yearfrom the lab homepage, 2023–2026
- 12 papers2026 · T1 7 · collecting
- 10 papers2025 · T1 7
- 5 papers2024 · T1 4
- 3 papers2023 · T1 3
T1 venuesOtherVenues: CVPR, ICML, NeurIPS, ICLR, ECCV
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation2 papers
- Robot perception & SLAM1 paper
- perception1 paper
- multisensory0 papers
- visual perception0 papers
Paper list
From the lab homepage.
202612 papers
- ICML (T1)A Theory of Contrastive Learning with Natural Images (opens in a new tab)
- ICML (T1)Ambient Dataloops: Generative Models for Dataset Refinement (opens in a new tab)
- Science (T1)Cooperation by non-kin during birth underpins sperm whale social complexity (opens in a new tab)
- NeurIPS (T1)Dataset distillation for pre-trained self-supervised vision models (opens in a new tab)
- Scientific ReportsDescription of a collaborative sperm whale birth and shifts in coda vocal styles during key events (opens in a new tab)
- —End-to-End Training for Unified Tokenization and Latent Denoising (opens in a new tab)
- NeurIPS (T1)Lora vs full fine-tuning: An illusion of equivalence (opens in a new tab)
- ICLR (T1)MathNet: A global multimodal benchmark for mathematical reasoning and retrieval (opens in a new tab)
- ICML (T1)Self-supervised flow matching for scalable multi-modal synthesis (opens in a new tab)
- The First Workshop on Efficient Spatial ReasoningThe Dual Mechanisms of Spatial Reasoning in Vision--Language Models (opens in a new tab)
- Mechanistic Interpretability Workshop at ICMLVision-Language Binding in In-Context Image Generation (opens in a new tab)
- TEIWiresens toolkit: An open-source platform towards accessible wireless tactile sensing (opens in a new tab)
202510 papers
- ICLR (T1)Adaptive Length Image Tokenization via Recurrent Allocation (opens in a new tab)
- NeurIPS (T1)Ambient diffusion omni: Training good models with bad data (opens in a new tab)
- Actionable Interpretability Workshop at ICMLAutomated Detection of Visual Attribute Reliance with a Self-Reflective Agent
- Workshop on CV4Animals at CVPRDeepWhaleListener: Annotation and Separation of Sperm Whale Calls
- CVPR (T1)Eval3D: Interpretable and fine-grained evaluation for 3D generation
- CHI EA '25Fits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves
- ICLR (T1)Multiagent finetuning: Self improvement with diverse reasoning chains
- ICML (T1)Separating Knowledge and Perception with Procedural Data (opens in a new tab)
- NeurIPS (T1)Single-pass adaptive image tokenization for minimum program search (opens in a new tab)
- CVPR (T1)Sketchagent: Language-driven sequential sketch generation
20245 papers
- ICML (T1)A Multimodal Automated Interpretability Agent (opens in a new tab)
- CVPR (T1)A Vision Check-up for Language Models (opens in a new tab)
- CVPR (T1)Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models (opens in a new tab)
- ECCV (T1)Characterizing model robustness via natural input gradients (opens in a new tab)
- MIT pressFoundations of Computer Vision (opens in a new tab)
Where alumni went46 listed
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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