10 citations · 16 across the 4 of their papers we have counts for
14 papers
Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation
Ziad Al-Halah, Santhosh K. Ramakrishnan, Kristen Grauman
In reinforcement learning for visual navigation, it is common to develop a model for each new task, and train that model from scratch with task-specific interactions in 3D environm…
Move2Hear: Active Audio-Visual Source Separation
Sagnik Majumder, Ziad Al-Halah, Kristen Grauman
We introduce the active audio-visual source separation problem, where an agent must move intelligently in order to better isolate the sounds coming from an object of interest in it…
Environment Predictive Coding for Embodied Agents
Santhosh K. Ramakrishnan, Tushar Nagarajan, Ziad Al-Halah +1
We introduce environment predictive coding, a self-supervised approach to learn environment-level representations for embodied agents. In contrast to prior work on self-supervised…
Semantic Audio-Visual Navigation
Changan Chen, Ziad Al-Halah, Kristen Grauman
Recent work on audio-visual navigation assumes a constantly-sounding target and restricts the role of audio to signaling the target's position. We introduce semantic audio-visual n…
Modeling Fashion Influence from Photos
Ziad Al-Halah, Kristen Grauman
The evolution of clothing styles and their migration across the world is intriguing, yet difficult to describe quantitatively. We propose to discover and quantify fashion influence…
Occupancy Anticipation for Efficient Exploration and Navigation
Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman
State-of-the-art navigation methods leverage a spatial memory to generalize to new environments, but their occupancy maps are limited to capturing the geometric structures directly…