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20162023
most citedGrad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

6.2k citations · 7.2k across the 26 of their papers we have counts for

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cs.CV2021★ 15 cited

Auxiliary Tasks and Exploration Enable ObjectNav

Joel Ye, Dhruv Batra, Abhishek Das +1

ObjectGoal Navigation (ObjectNav) is an embodied task wherein agents are to navigate to an object instance in an unseen environment. Prior works have shown that end-to-end ObjectNa…

cs.CV2020★ 6 cited

Auxiliary Tasks Speed Up Learning PointGoal Navigation

Joel Ye, Dhruv Batra, Erik Wijmans +1

PointGoal Navigation is an embodied task that requires agents to navigate to a specified point in an unseen environment. Wijmans et al. showed that this task is solvable but their…

cs.CV2019★ 14 cited

Embodied Question Answering in Photorealistic Environments with Point Cloud Perception

Erik Wijmans, Samyak Datta, Oleksandr Maksymets +6

To help bridge the gap between internet vision-style problems and the goal of vision for embodied perception we instantiate a large-scale navigation task -- Embodied Question Answe…

cs.CV2017★ 2 cited

Embodied Question Answering

Abhishek Das, Samyak Datta, Georgia Gkioxari +3

We present a new AI task -- Embodied Question Answering (EmbodiedQA) -- where an agent is spawned at a random location in a 3D environment and asked a question ("What color is the…

cs.CV2017★ 91 cited

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

Abhishek Das, Satwik Kottur, José M. F. Moura +2

We introduce the first goal-driven training for visual question answering and dialog agents. Specifically, we pose a cooperative 'image guessing' game between two agents -- Qbot an…

cs.CV2016★ 6.2k cited

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das +3

We propose a technique for producing "visual explanations" for decisions from a large class of CNN-based models, making them more transparent. Our approach - Gradient-weighted Clas…

cs.CV2016

Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?

Abhishek Das, Harsh Agrawal, C. Lawrence Zitnick +2

We conduct large-scale studies on `human attention' in Visual Question Answering (VQA) to understand where humans choose to look to answer questions about images. We design and tes…