111 citations · 163 across the 14 of their papers we have counts for
6 papers · 1 filter
Learning Visual Representations for Transfer Learning by Suppressing Texture
Shlok Mishra, Anshul Shah, Ankan Bansal +5
Recent literature has shown that features obtained from supervised training of CNNs may over-emphasize texture rather than encoding high-level information. In self-supervised learn…
Geometric Matrix Completion: A Functional View
Abhishek Sharma, Maks Ovsjanikov
We propose a totally functional view of geometric matrix completion problem. Differently from existing work, we propose a novel regularization inspired from the functional map lite…
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors
Rohun Tripathi, Vasu Singla, Mahyar Najibi +3
The widely adopted sequential variant of Non Maximum Suppression (or Greedy-NMS) is a crucial module for object-detection pipelines. Unfortunately, for the region proposal stage of…
OpenEDS2020: Open Eyes Dataset
Cristina Palmero, Abhishek Sharma, Karsten Behrendt +3
We present the second edition of OpenEDS dataset, OpenEDS2020, a novel dataset of eye-image sequences captured at a frame rate of 100 Hz under controlled illumination, using a virt…
Towards Automatic Generation of Questions from Long Answers
Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma +3
Automatic question generation (AQG) has broad applicability in domains such as tutoring systems, conversational agents, healthcare literacy, and information retrieval. Existing eff…
Listwise Learning to Rank with Deep Q-Networks
Abhishek Sharma
Learning to Rank is the problem involved with ranking a sequence of documents based on their relevance to a given query. Deep Q-Learning has been shown to be a useful method for tr…