Gabriel Sarch

According to our database, Gabriel Sarch authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Out of Sight, Not Out of Context? Egocentric Spatial Reasoning in VLMs Across Disjoint Frames.

Sahithya Ravi, Gabriel Sarch, Vibhav Vineet, Andrew D. Wilson, Balasaravanan Thoravi Kumaravel

CoRR, May, 2025

Grounded Reinforcement Learning for Visual Reasoning.

Gabriel Sarch, Snigdha Saha, Naitik Khandelwal, Ayush Jain, Michael J. Tarr, Aviral Kumar, Katerina Fragkiadaki

CoRR, May, 2025

Reanimating Images using Neural Representations of Dynamic Stimuli.

Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Grounding Task Assistance with Multimodal Cues from a Single Demonstration.

Gabriel Herbert Sarch, Balasaravanan Thoravi Kumaravel, Sahithya Ravi, Vibhav Vineet, Andrew D. Wilson

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights.

Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki

CoRR, 2024

Neural Representations of Dynamic Visual Stimuli.

Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr

CoRR, 2024

HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models.

Gabriel Sarch, Sahil Somani, Raghav Kapoor, Michael J. Tarr, Katerina Fragkiadaki

CoRR, 2024

ODIN: A Single Model for 2D and 3D Perception.

Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki

CoRR, 2024

VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought.

Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ODIN: A Single Model for 2D and 3D Segmentation.

Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

3D View Prediction Models of the Dorsal Visual Stream.

Gabriel Sarch, Hsiao-Yu Fish Tung, Aria Y. Wang, Jacob S. Prince, Michael J. Tarr

CoRR, 2023

Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images.

Gabriel Sarch, Michael J. Tarr, Katerina Fragkiadaki, Leila Wehbe

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models.

Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors.

Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Move to See Better: Self-Improving Embodied Object Detection.

Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Move to See Better: Towards Self-Supervised Amodal Object Detection.

Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki

CoRR, 2020