Anubhab Sen

I am a graduate student at the University of Southern California pursuing Masters in Computer Science.

I finished my undergraduate studies from IIIT Hyderabad. There I worked with Prof. Ponnurangam Kumaraguru to analyse and try to predict trends on Twitter regarding the Indian general election, 2019.
I worked with Prof. Vinoo Alluri to investigate connection between the musicality and personality traits.
I also worked with Prof. Avinash Sharma at the Centre for Visual Information Technology.

During the summer of 2018, I worked at the Computer Vision Lab, at Indiana University Bloomington under the guidance of Prof. David Crandall on a system that can classify notes played and finger used by a piano player using the video and audio feeds. Now I am working on preserving privacy of non-subjects in photographs using GANs.

Email / CV / GitHub / LinkedIn

Sections

Research
Course Projects
Teaching

Research

I'm interested in computer vision, machine learning (deep learning in particular) and image processing. I have been working on 3D reconstruction of non rigid objects, gaze following, sketch based image retrieval and depth estimation using unsupervised methods.
Some papers I am currently working with:

	Unsupervised Learning of Depth and Ego-Motion from Video Tinghui Zhou, Matthew Brown, Noah Snavely, David Lowe CVPR, 2017 project page Unsupervised learning framework for monocular depth and camera motion estimation from unstructured video sequences
	3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction Christopher B. Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, Silvio Savarese ECCV, 2016 project page Generate voxelised reconstruction of object given one or multiple views
	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T. Freeman, Joshua B. Tenenbaum NIPS, 2016 project page Generates 3D objects from a probabilistic space by leveraging recent advances in volumetric convolutional networks and generative adversarial nets.
	Where are they looking? Adrià Recasens, Aditya Khosla, Carl Vondrick, Antonio Torralba NIPS, 2015 project page Given an image and the location of a head, the gaze of the person is followed and the object being looked at is identified.

Course Projects

	Sketch based image retrieval Anubhab Sen, Rohit Gajawada, Aditya Bharti, 2017 Given a sketch, search a database from images which are similar to the sketch and display them.
	Ultimate tic tac toe bot (4x4x4x4) Anubhab Sen, Rohit Gajawada, 2017 An AI bot to play a variation of ultimate tic tac toe (4x4x4x4) using minimax and alphabeta pruning along with iterative deepening and a heuristic to handle time limits.
	WebGL Aquarium Anubhab Sen, Megh Parikh, Sourabh Rajguru, Arun Garimella, 2016 An aquarium made using completely using WebGL and free resources like models and textures.
	C-Shell Anubhab Sen, 2017 A bash clone implemented in C. Some bash commands are implemented and the rest are invoked using execvp. A few additional commands such as pinfo, jobs, kjob and kill have been implemented to enhance productivity.

Teaching

	Introduction to Software Systems (Spring 2019) - Teaching Assistant Course with over 200 undergraduates registered.
	Machine Learning (Monsoon 2018) - Teaching Assistant Course with over 250 students including Bachelors, Masters, PhD and professionals registered.
	Computer Graphics (Spring 2018) - Teaching Assistant Course with over 150 undergraduates registered.
	Operating Systems (Monsoon 2017) - Teaching Assistant Course with over 150 undergraduates registered.

Source: Jon Barron