25 citations · 71 across the 11 of their papers we have counts for
4 papers · 1 filter
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop
Michael Kellman, Jon Tamir, Emrah Boston +2
Computational imaging systems jointly design computation and hardware to retrieve information which is not traditionally accessible with standard imaging systems. Recently, critica…
Leveraging Multimodal Haptic Sensory Data for Robust Cutting
Kevin Zhang, Mohit Sharma, Manuela Veloso +1
Cutting is a common form of manipulation when working with divisible objects such as food, rope, or clay. Cooking in particular relies heavily on cutting to divide food items into…
Double Anchor R-CNN for Human Detection in a Crowd
Kevin Zhang, Feng Xiong, Peize Sun +3
Detecting human in a crowd is a challenging problem due to the uncertainties of occlusion patterns. In this paper, we propose to handle the crowd occlusion problem in human detecti…
Learning Semantic Embedding Spaces for Slicing Vegetables
Mohit Sharma, Kevin Zhang, Oliver Kroemer
In this work, we present an interaction-based approach to learn semantically rich representations for the task of slicing vegetables. Unlike previous approaches, we focus on object…