Gabriel Sarch - RankMe

18 papers A* 4A 1Journal 11Unranked 2

Year	Rank	Type	Title / 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