2 citations · 3 across the 5 of their papers we have counts for
13 papers
Face Age Progression With Attribute Manipulation
Sinzith Tatikonda, Athira Nambiar, Anurag Mittal
Face is one of the predominant means of person recognition. In the process of ageing, human face is prone to many factors such as time, attributes, weather and other subject specif…
Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsampling
Saikat Dutta, Nisarg A. Shah, Anurag Mittal
This paper explores an efficient solution for Space-time Super-Resolution, aiming to generate High-resolution Slow-motion videos from Low Resolution and Low Frame rate videos. A si…
Domain Adaptive Knowledge Distillation for Driving Scene Semantic Segmentation
Divya Kothandaraman, Athira Nambiar, Anurag Mittal
Practical autonomous driving systems face two crucial challenges: memory constraints and domain gap issues. In this paper, we present a novel approach to learn domain adaptive know…
MARNet: Multi-Abstraction Refinement Network for 3D Point Cloud Analysis
Rahul Chakwate, Arulkumar Subramaniam, Anurag Mittal
Representation learning from 3D point clouds is challenging due to their inherent nature of permutation invariance and irregular distribution in space. Existing deep learning metho…
WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-resolution
Vikram Singh, Anurag Mittal
Divide and conquer is an established algorithm design paradigm that has proven itself to solve a variety of problems efficiently. However, it is yet to be fully explored in solving…
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder
Gouthaman KV, Anurag Mittal
Recent studies have shown that current VQA models are heavily biased on the language priors in the train set to answer the question, irrespective of the image. E.g., overwhelmingly…