54 citations · 76 across the 8 of their papers we have counts for
9 papers
What to Attend, What to Keep: Skill-Conditioned Visuotactile Representation with Progress-Guided Event Memory
Amir-Hossein Shahidzadeh, Seungjae Lee, Eadom Dessalene +5
Robotic manipulation integrates vision, touch, and language, whose importance shifts across stages: vision guides reaching, while touch, through its evolution over time, decides gr…
FEEL (Force-Enhanced Egocentric Learning): A Dataset for Physical Action Understanding
Eadom Dessalene, Botao He, Michael Maynord +5
We introduce FEEL (Force-Enhanced Egocentric Learning), the first large-scale dataset pairing force measurements gathered from custom piezoresistive gloves with egocentric video. O…
Monocular Reconstruction of Neural Tactile Fields
Pavan Mantripragada, Siddhanth Deshmukh, Eadom Dessalene +2
Robots operating in the real world must plan through environments that deform, yield, and reconfigure under contact, requiring interaction-aware 3D representations that extend beyo…
EmbodiSwap for Zero-Shot Robot Imitation Learning
Eadom Dessalene, Pavan Mantripragada, Michael Maynord +1
We introduce EmbodiSwap - a method for producing photorealistic synthetic robot overlays over human video. We employ EmbodiSwap for zero-shot imitation learning, bridging the embod…
LEAP: LLM-Generation of Egocentric Action Programs
Eadom Dessalene, Michael Maynord, Cornelia Fermüller +1
We introduce LEAP (illustrated in Figure 1), a novel method for generating video-grounded action programs through use of a Large Language Model (LLM). These action programs represe…
Therbligs in Action: Video Understanding through Motion Primitives
Eadom Dessalene, Michael Maynord, Cornelia Fermuller +1
In this paper we introduce a rule-based, compositional, and hierarchical modeling of action using Therbligs as our atoms. Introducing these atoms provides us with a consistent, exp…
Forecasting Action through Contact Representations from First Person Video
Eadom Dessalene, Chinmaya Devaraj, Michael Maynord +2
Human actions involving hand manipulations are structured according to the making and breaking of hand-object contact, and human visual understanding of action is reliant on antici…
Egocentric Object Manipulation Graphs
Eadom Dessalene, Michael Maynord, Chinmaya Devaraj +2
We introduce Egocentric Object Manipulation Graphs (Ego-OMG) - a novel representation for activity modeling and anticipation of near future actions integrating three components: 1)…
Following Instructions by Imagining and Reaching Visual Goals
John Kanu, Eadom Dessalene, Xiaomin Lin +2
While traditional methods for instruction-following typically assume prior linguistic and perceptual knowledge, many recent works in reinforcement learning (RL) have proposed learn…