Move to See Better: Towards Self-Supervised Amodal Object Detection. - Zhaoyuan Fang; Ayush Jain; Gabriel Sarch; Adam W. Harley; Katerina Fragkiadaki (CoRR, 2020)

Move to See Better: Self-Improving Embodied Object Detection. - Zhaoyuan Fang; Ayush Jain; Gabriel Sarch; Adam W. Harley; Katerina Fragkiadaki (BMVC, 2021)

TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors. - Gabriel Sarch; Zhaoyuan Fang; Adam W. Harley; Paul Schydlo; Michael J. Tarr; Saurabh Gupta 001; Katerina Fragkiadaki (ECCV (39), 2022)

Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models. - Gabriel Sarch; Yue Wu; Michael J. Tarr; Katerina Fragkiadaki (EMNLP (Findings), 2023)

Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images. - Gabriel Sarch; Michael J. Tarr; Katerina Fragkiadaki; Leila Wehbe (NeurIPS, 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)

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 (CVPR, 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 (NeurIPS, 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)

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)

Neural Representations of Dynamic Visual Stimuli. - Jacob Yeung; Andrew F. Luo; Gabriel Sarch; Margaret M. Henderson; Deva Ramanan; Michael J. Tarr (CoRR, 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)

Grounding Task Assistance with Multimodal Cues from a Single Demonstration. - Gabriel Herbert Sarch; Balasaravanan Thoravi Kumaravel; Sahithya Ravi; Vibhav Vineet; Andrew D. Wilson (ACL (Findings), 2025)

Reanimating Images using Neural Representations of Dynamic Stimuli. - Jacob Yeung; Andrew F. Luo; Gabriel Sarch; Margaret M. Henderson; Deva Ramanan; Michael J. Tarr (CVPR, 2025)

Grounded Reinforcement Learning for Visual Reasoning. - Gabriel Sarch; Snigdha Saha; Naitik Khandelwal; Ayush Jain; Michael J. Tarr; Aviral Kumar; Katerina Fragkiadaki (CoRR, 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, 2025)