A list of papers in ActiveVision and VLN
- Matterport3D: Learning from RGB-D Data in Indoor Environments (3DV 2017) [pdf]
- Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments (CVPR 2018) [pdf]
- On Evaluation of Embodied Navigation Agents [pdf]
- Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments (CVPR 2018) [pdf]
- Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout (NAACL 2019) [pdf]
- Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation (CVPR 2019) [pdf]
- Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation (ECCV 2018) [pdf]
- The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation (CVPR 2019) [pdf]
- Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation (CVPR 2019) [pdf]
- Self-Monitoring Navigation Agent via Auxiliary Progress Estimation (ICLR 2019) [pdf]
- Speaker-Follower Models for Vision-and-Language Navigation (NeurIPS 2018) [pdf]
- Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout (NAACL 2019) [pdf]
- Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation (CVPR 2019) [pdf]
- Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering (CVPR 2018) [pdf]
- Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents (CoRL 2018) [pdf]
- Neural Modular Control for Embodied Question Answering (CoRL 2018) [pdf]
- Adaptive Object Detection Using Adjacency and Zoom Prediction (CVPR 2016) [pdf]
- Ecological Active Vision: Four Bioinspired Principles to Integrate Bottom-Up and Adaptive Top-Down Attention Tested With a Simple Camera-Arm Robot (TAMD 2015) [pdf]
- Toward predictive machine learning for active vision (ICLR 2018) [pdf]
- Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning (ICRA 2017) [pdf]
- Learning to Follow Directions in Street View [pdf]
- Habitat: A Platform for Embodied AI Research [pdf]