Gabriel Sarch

18 papers A* 4A 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Grounded Reinforcement Learning for Visual Reasoning.
CoRR
Gabriel Sarch, Snigdha Saha, Naitik Khandelwal, Ayush Jain, Michael J. Tarr, Aviral Kumar, Katerina Fragkiadaki
2025 J jnl
Grounding Task Assistance with Multimodal Cues from a Single Demonstration.
CoRR
Gabriel Sarch, Balasaravanan Thoravi Kumaravel, Sahithya Ravi, Vibhav Vineet, Andrew D. Wilson
2025 J jnl
Out of Sight, Not Out of Context? Egocentric Spatial Reasoning in VLMs Across Disjoint Frames.
CoRR
Sahithya Ravi, Gabriel Sarch, Vibhav Vineet, Andrew D. Wilson, Balasaravanan Thoravi Kumaravel
2025 A* conf
Reanimating Images using Neural Representations of Dynamic Stimuli.
CVPR
Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr
2024 J jnl
HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models.
CoRR
Gabriel Sarch, Sahil Somani, Raghav Kapoor, Michael J. Tarr, Katerina Fragkiadaki
2024 J jnl
ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights.
CoRR
Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
2024 J jnl
Neural Representations of Dynamic Visual Stimuli.
CoRR
Jacob Yeung, Andrew F. Luo, Gabriel Sarch, Margaret M. Henderson, Deva Ramanan, Michael J. Tarr
2024 J jnl
ODIN: A Single Model for 2D and 3D Perception.
CoRR
Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki
2024 A* conf
ODIN: A Single Model for 2D and 3D Segmentation.
CVPR
Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki
2024 A* conf
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought.
NeurIPS
Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
2023 J jnl
3D View Prediction Models of the Dorsal Visual Stream.
CoRR
Gabriel Sarch, Hsiao-Yu Fish Tung, Aria Y. Wang, Jacob S. Prince, Michael J. Tarr
2023 A* conf
Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images.
NeurIPS
Gabriel Sarch, Michael J. Tarr, Katerina Fragkiadaki, Leila Wehbe
2023 — conf
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models.
EMNLP (Findings)
Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki
2023 J jnl
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models.
CoRR
Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki
2022 — conf
TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors.
ECCV (39)
Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki
2022 J jnl
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors.
CoRR
Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki
2021 A conf
Move to See Better: Self-Improving Embodied Object Detection.
BMVC
Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki
2020 J jnl
Move to See Better: Towards Self-Supervised Amodal Object Detection.
CoRR
Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki