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Dhekaneeeshan Gunesh • SECOND YEAR M.SC DhekaneEeshan Gunesh • SECOND YEAR M.SC. STUDENT RESEARCHER, MILA • UNIVERSITÉ DE MONTRÉAL • (+91) 7754916144 | [email protected] | https://eeshandhekane.github.io | eeshan-dhekane-05677482 Education Mila, Université de Montréal (Supervisor: Prof. Aaron Courville) September 2018—Present MASTER OF SCIENCE (RESEARCH-BASED, INFORMATIQUE) CURRENT GPA : 4.3 Indian Institute of Technology, Kanpur (IITK) July 2013—June 2018 B.TECH IN ELECTRICAL ENGINEERING, WITH DOUBLE MAJOR IN COMPUTER SCIENCE AND ENGINEERING OVERALL GPA : 9.5/10 Sir Parashurambhau College, Pune July 2010—July 2012 MAHARASHTRA STATE BOARD OF SECONDARY & HIGHER SECONDARY EDUCATION SCORE : 89.83% Jnana Prabodhini Prashala, Pune July 2005—July 2010 CENTRAL BOARD OF SECONDARY EDUCATION SCORE : 96.6% • POINTER : 10/10 Academic Achievements & Honors RECEIVED BOURSE D’EXCELLENCE (ACADEMIC EXCELLENCE SCHOLARSHIP) OF UNIVERSITÉ DE MONTRÉAL 2019 ATTENDED DEEP LEARNING-REINFORCEMENT LEARNING SUMMER SCHOOL (DLRL 2019) AT EDMONTON, ALBERTA 2019 SELECTED FOR PRAIRIE ARTIFICIAL INTELLIGENCE SUMMER SCHOOL (PAISS 2018) AT GRENOBLE, FRANCE 2018 RECEIVED FOUR ACADEMIC EXCELLENCE AWARDS FOR OUTSTANDING ACADEMIC PERFORMANCE AT IITK 2014, 2015, 2016, 2017 RECEIVED SRI DHAR MEMORIAL BEST FINAL YEAR UNDERGRADUATE STUDENT AWARD OF IITK 2016 SECURED ALL INDIA RANK 2453 IN JEE-ADVANCED 2013 2013 KISHORE VAIGYANIK PROTSAHAN YOJANA (KVPY) AWARDEE WITH ALL INDIA RANK 36 2011 SECURED ALL INDIA RANK 9 IN INDIAN NATIONAL MATHEMATICAL OLYMPIAD (INMO 2009) 2009 SELECTED FOR INTERNATIONAL MATHEMATICAL OLYMPIAD TRAINING CAMP (IMOTC) FOR FOUR YEARS 2009, 2010, 2011, 2012 RECEIVED INVITATION FROM CHENNAI MATHEMATICAL INSTITUTE (CMI) FOR HIGHER STUDIES 2009 NATIONAL TALENT SEARCH EXAMINATION (NTSE) AWARDEE 2008 MAHARASHTRA TALENT SEARCH EXAMINATION (MTSE) AWARDEE WITH ALL INDIA RANK 15 2008 Publications Hierarchical Importance Weighted Autoencoders | [ PAPER] PUBLISHED AT ICML 2019 (36TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING) Chin-Wei Huang, Kris Sankaran , Eeshan Dhekane, Alexandre Lacoste, Aaron Courville Transfer Learning by Modeling a Distribution over Policies | [ PAPER] PUBLISHED AT MTLRL, ICML 2019 (WORKSHOP ON MULTI-TASK AND LIFELONG REINFORCEMENT LEARNING) Disha Shrivastava∗, Eeshan Gunesh Dhekane∗, Riashat Islam (∗ EQUAL CONTRIBUTION) Learning Affective Correspondence Between Music and Image |[ PAPER] PUBLISHED AT ICASSP, 2019 (44TH INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING). SESSION: POSTER. Gaurav Verma, Eeshan Gunesh Dhekane, Tanaya Guha Convolutional Neural Network based Sensors for Mobile Robot Relocalization | [ PAPER] PUBLISHED AT MMAR 2018 (23RD INTERNATIONAL CONFERENCE ON METHODS & MODELS IN AUTOMATION & ROBOTICS) Harsh Sinha∗, Jay Patrikar∗, Eeshan Gunesh Dhekane∗, Gaurav Pandey, Mangal Kothari (∗ EQUAL CONTRIBUTION) High Accuracy Optical Flow based Future Image Predictor Model | [ PAPER][ ALTERNATE LINK] PUBLISHED AT IEEE AIPR 2015, WASHINGTON DC (APPLIED IMAGERY PATTERN RECOGNITION WORKSHOP) Nishchal K. Verma, Dhekane Eeshan Gunesh, G. S. S. Srinivas Rao, Aakansha Mishra LAST UPDATED ON : APRIL 24, 2020 • DHEKANE EESHAN GUNESH • RÉSUMÉ • PAGE : 1 Research Experience Attribute Based Video Captioning | [ REPORT][ DEMO] January 2018—May 2018 COURSE PROJECT WITH PROF. HARISH KARNICK, G. VERMA, C. GOSWAMI, G. S. S. S. RAO, L. TANEJA, T. C. MANDAN IIT Kanpur • Proposed novel CNN-RNN Combination Architecture for Attribute Based Video Captioning. • Developed Accurate Video Captioning Pipeline by leveraging Implicit Attribute Learning. Zero Shot Learning and Image Synthesis in Generative Settings | [ REPORT] August 2017—January 2018 COURSE PROJECT WITH PROF. PIYUSH RAI, VINAYAK TANTIA AND INDEPENDENT EXTENSION IIT Kanpur • Developed a fusion of Variational Auto-Encoders with Transformation Auto-Encoders to model Independent Attributes. • Successful Application of the novel Transformation Variational Auto-Encoders to Zero-Shot Image Synthesis on MNIST Dataset. Online Multiclass Classification under Partial Feedback | [ REPORT] January 2017—May 2017 COURSE PROJECT WITH PROF. PURUSHOTTAM KAR, HARDIK PARWANA, ABHINAV JAIN IIT Kanpur • Proposed novel algorithms for Multiclass Classification under Partial Feedback of Label Sets using Unbiased Estimators. • Proved Mistake Bounds for the cases of Label Sets with Uniformly Distributed Noisy Labels and Set Size. Cross-Modal Deep Learning for Affective Multimedia Retrieval |[ REPORT][ DEMO] August 2017—Present ONGOING PROJECT WITH PROF. TANAYA GUHA, GAURAV VERMA AND EXTENSION IIT Kanpur • Developed Deep Architectures for Learning Cross-Modal Representations. • Demonstrated successful Cross-Domain Adaptation on benchmarking datasets. Attribute-based Generative Adversarial Imitation Learning | [ CODE] January 2018—May 2018 RESEARCH PROJECT WITH PROF. VINAY NAMBOODIRI IIT Kanpur • Proposed novel Attribute-based Capsule Variational Auto-Encoder for Modeling Visual Inputs and Zero-Shot Reconstruction. • Extending the same architecture to Generative Adversarial Imitation Learning in Multi-Task Settings. Modeling Physics Underlying Visual Inputs | [ REPORT] September 2017—Present COURSE PROJECT WITH PROF. VINAY NAMBOODIRI, G. S. S. SRINIVAS RAO AND EXTENSION IIT Kanpur • Proposed a novel approach for modeling Abstractions of Physics Rules that underlie the visual inputs. • Developed a Contextual RNN-GAN Architecture to model and generate Newtonian Projectile Motions. Cross Modality Supervision Transfer based Depth Estimation | [ REPORT] July 2016—January 2017 COURSE PROJECT WITH PROF. GAURAV SHARMA, G. S. S. SRINIVAS RAO AND INDEPENDENT EXTENSION IIT Kanpur • Proposed a novel approach for Supervision Transfer based Depth Estimation using Visual Inputs from RGB Camera. • Application of End-to-End Deep Fully Convolutional Neural Networks having SegNet-like Architectures. CNN-based Sensors for Mobile Robot Relocalization | [ PAPER] May 2017—September 2017 WITH PROF. GAURAV PANDEY, PROF. MANGAL KOTHARI, JAY PATRIKAR AND HARSH SINHA IIT Kanpur • Proposed a novel, robust and real-time Convolutional Neural Network based algorithm for Mobile Robot Relocalization. • Integrated Pose Estimation from RGB Images with Extended Kalman Filter using the ROS-Caffe Platform. Automatic Speech Recognition Systems for Indian Accent English | [ POSTER][ DEMO] May 2016—August 2016 WITH OM DESHMUKH, HARISH ARSIKERE, SONAL PATIL Xerox Research Centre India • Developed Automatic Speech Recognition Systems (ASRs) for Indian Accent English, based on GMM-HMM based architectures. • Maximum-A-Posteriori (MAP) Adaptations of Acoustic Models to achieve 16% Word Error Rate (WER) Improvements. Conditions for Signal Constellation Optimization | [ REPORT][ CODE] January 2016—March 2017 WITH PROF. AJIT K. CHATURVEDI IIT Kanpur • Developed a novel method to model Signal Constellation Optimization Problem in terms of Euclidean Geometric framework. • Deduced Optimization Conditions for Additive Gaussian Noise Channels and Iterative Algorithms for Minimizing Bit Error Rate. Neural Network based Future Image Predictor Model | [ PAPER][ ALTERNATE LINK] June 2015—October 2015 WITH PROF. NISHCHAL K. VERMA, G. S. S. SRINIVAS RAO IIT Kanpur • Developed algorithm for future image frame generation using High Accuracy Optical Flow (HAOF) modeling using Neural Networks. • Image reconstruction using Interpolation Techniques and HAOF predictions from learnt models. LAST UPDATED ON : APRIL 24, 2020 • DHEKANE EESHAN GUNESH • RÉSUMÉ • PAGE : 2 Projects Google Cardboard Virtual and Augmented Reality Encyclopedia | [ VIDEO] December 2016 WITH G. S. S. SRINIVAS RAO, NEERAJ THAKUR, GONTU HARISH Microsoft Code.Fun.Do • Contributed in Virtual and Augmented Reality Encyclopedia for the areas of Astronomy and Chemistry. • AR Mode: Miniaturized Solar System, Molecules and VR Mode: Custom-Made Planet Surfaces from NASA’s Data, Molecules. Robots and Artificial Intelligence for Factories of Future | [ PROPOSAL][ FINAL DEMO] October 2017 WITH HARSH SINHA, ANIMESH SHASTRY Hindustan Unilever (HUL) • Proposed AI and Robotics Based Solutions for Challenges proposed by HUL, with focus on Tracking and Navigation in Factory Environments. • Winner of IIT Kanpur Institute-Level Round and All-India Rank 2 with Funding of INR 50000 for Factory Deployment. Adversarial Attacks on Neural Networks & Robust Defenses | [ REPORT] August 2017—January 2018 COURSE PROJECT WITH PROF. PURUSHOTTAM KAR, AFROZ ALAM, NAYAN DESHMUKH, VINAYAK TANTIA IIT Kanpur • Implementing recent papers on Adversarial Attacks on Neural Networks and Corresponding Robust Defenses. • Developed and Successfully Implemented Regularized BReLU-based Distillation Technique for better Defense. Semantic Image Completion | [ REPORT][ DEMO] July 2016—December 2016 SURVEY BASED COURSE PROJECT WITH PROF. TANAYA GUHA WITH SPECIAL APPRECIATION IIT Kanpur • Study of Semantic Image Inpainting using Exemplar-based Techniques and Data-driven Approaches. • Comparisons of the performances of the techniques and performance improvements. PoseNet: A Convolutional Network for Camera Relocalisation | [ REPORT][ DEMO] January 2017—April 2017 IMPLEMENTATION COURSE PROJECT WITH PROF. GAURAV PANDEY, JAY PATRIKAR, PRANAB PRUSTY IIT Kanpur • Studied and Implemented the paper PoseNet: A Convolutional Network for Real Time 6-DOF Camera Relocalization. • Implemented Relocalization with Shallow Neural Networks like Alex-Net for Mobile and Real-Time Applications. Improving Recommender Systems by Reducing Hubness | [ POSTER][ REPORT] January 2016—April 2016
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