2 citations · 2 across the 4 of their papers we have counts for
4 papers
SynthDemo-RL: Breaking the Zero-Reward Barrier in VLA Adaptation with LLM-Guided Synthetic Demonstrations
Hiroaki Kingetsu, Hiroaki Kurihara, Kaoru Yokoo +2
Fine-tuning Vision-Language-Action (VLA) models commonly relies on human teleoperation demonstrations, while reinforcement learning (RL) with sparse binary rewards faces an explora…
Towards a Training Free Approach for 3D Scene Editing
Vivek Madhavaram, Shivangana Rawat, Chaitanya Devaguptapu +2
Text driven diffusion models have shown remarkable capabilities in editing images. However, when editing 3D scenes, existing works mostly rely on training a NeRF for 3D editing. Re…
Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers
Chaitanya Devaguptapu, Sumukh Aithal, Shrinivas Ramasubramanian +2
Self-supervised learning (SSL) with vision transformers (ViTs) has proven effective for representation learning as demonstrated by the impressive performance on various downstream…
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs
Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu +2
Given unstructured text, Large Language Models (LLMs) are adept at answering simple (single-hop) questions. However, as the complexity of the questions increase, the performance of…