793 citations · 1.2k across the 7 of their papers we have counts for
8 papers
HM3D-OVON: A Dataset and Benchmark for Open-Vocabulary Object Goal Navigation
Naoki Yokoyama, Ram Ramrakhya, Abhishek Das +2
We present the Habitat-Matterport 3D Open Vocabulary Object Goal Navigation dataset (HM3D-OVON), a large-scale benchmark that broadens the scope and semantic range of prior Object…
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
Yi-Lun Liao, Tess Smidt, Muhammed Shuaibi +1
Understanding the interactions of atoms such as forces in 3D atomistic systems is fundamental to many applications like molecular dynamics and catalyst design. However, simulating…
Rotation Invariant Graph Neural Networks using Spin Convolutions
Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das +4
Progress towards the energy breakthroughs needed to combat climate change can be significantly accelerated through the efficient simulation of atomic systems. Simulation techniques…
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
Lowik Chanussot, Abhishek Das, Siddharth Goyal +14
Catalyst discovery and optimization is key to solving many societal and energy challenges including solar fuels synthesis, long-term energy storage, and renewable fertilizer produc…
Response to "Visual Dialogue without Vision or Dialogue" (Massiceti et al., 2018)
Abhishek Das, Devi Parikh, Dhruv Batra
In a recent workshop paper, Massiceti et al. presented a baseline model and subsequent critique of Visual Dialog (Das et al., CVPR 2017) that raises what we believe to be unfounded…
Audio-Visual Scene-Aware Dialog
Huda Alamri, Vincent Cartillier, Abhishek Das +9
We introduce the task of scene-aware dialog. Our goal is to generate a complete and natural response to a question about a scene, given video and audio of the scene and the history…
Visual Dialog
Abhishek Das, Satwik Kottur, Khushi Gupta +5
We introduce the task of Visual Dialog, which requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Specifically, g…
Grad-CAM: Why did you say that?
Ramprasaath R Selvaraju, Abhishek Das, Ramakrishna Vedantam +3
We propose a technique for making Convolutional Neural Network (CNN)-based models more transparent by visualizing input regions that are 'important' for predictions -- or visual ex…