Rama Chellappa University of Maryland, College Park | UMD, UMCP, University of Maryland College Park · Center for Automation Research (CfAR) Ph.D. Purdue University, W. Lafayette, In 47907...BACKGROUND. Prof. Rama Chellappa received the B.E. (Hons.) degree in Electronics and Communication Engineering from the University of Madras, India in 1975 and the M.E. (with Distinction) degree from the Indian Institute of Science, Bangalore, India in 1977. Chellappa is often quoted in the popular media on information privacy and security related issues. Prof. Chellappa has taught courses at the undergraduate, MBA, MS and PhD levels in the areas of information systems, operations management, economics and analytics. He has also designed and taught courses for executive education including in the ...Rama Chellappa. College Park Professor. 4246 Iribe Center (301) 405-3656 (301) 314-9115. Academic Web Page. Education: Ph.D., Purdue University (Electrical Engineering) Ketul Shah1 Anshul Shah1 Chun Pong Lau1 Celso M. de Melo2 Rama Chellappa1 1Johns Hopkins University 2DEVCOM Army Research Laboratory {kshah33, ashah95, clau13, rchella4}@jhu.edu [email protected] Abstract In this work, we present a method for RGB-based action recognition using multi-view videos. We present a super- …Rama Chellappa is a Distinguished University Professor, a Minta Martin Professor of Engineering and Chair of the ECE department at the University of Maryland.Rama Chellappa, a renowned researcher in AI and computer vision, has written a delightfully personalized and insightful book that rationally addresses these questions and provides the reader with important historical context on the development of AI over the past half-century. A valuable read for anyone interested in how AI will shape our …Jun 16, 2021 · As the curation of data for machine learning becomes increasingly automated, dataset tampering is a mounting threat. Backdoor attackers tamper with training data to embed a vulnerability in models that are trained on that data. This vulnerability is then activated at inference time by placing a "trigger" into the model's input. Typical backdoor attacks insert the trigger directly into the ... Jan 31, 2023 ... In their new book 'Can We Trust AI?', researcher Rama Chellappa and WSJ science reporter Eric Niiler recount the evolution of AI and how it ...BACKGROUND. Prof. Rama Chellappa received the B.E. (Hons.) degree in Electronics and Communication Engineering from the University of Madras, India in 1975 and the M.E. (with Distinction) degree from the Indian Institute of Science, Bangalore, India in 1977. Rama Chellappa is a Minta Martin Professor of Engineering, Professor of Electrical and Computer Engineering, and a Permanent member of the University of ...Pavan Turaga 1 , Ashok Veeraraghavan, Anuj Srivastava, Rama Chellappa. Affiliation 1 Center for Automation Research, University of Maryland, College Park, College Park, MD 20742, USA. [email protected]; PMID: 21422487 DOI: 10.1109/TPAMI.2011.52 Abstract In this paper, we examine image and video-based recognition applications …Zero-Shot Object Detection. CoRR abs/1804.04340 ( 2018) [i5] Rajeev Ranjan, Ankan Bansal, Jingxiao Zheng, Hongyu Xu, Joshua Gleason, Boyu Lu, Anirudh Nanduri, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa: A Fast and Accurate System for Face Detection, Identification, and Verification. CoRR abs/1809.07586 ( 2018) 2017.Rama Chellappa2,3 [email protected] Abhinav Shrivastava3 [email protected] 1Meta 2Johns Hopkins University 3University of Maryland, College Park Abstract We tackle the challenging task of unsupervised object lo-calization in this work. Recently, transformers trained with self-supervised learning have been shown to exhibit objectRamalingam "Rama" Chellappa, Dr. Wayne C. Westerman, Ms. Lila Ibrahim Liebat, Dr. Andrew P. Sage Jr., Dr. Joel S. Emer, Mr. Rick D. Hess, and Ragu ...Rama Chellappa is a Minta Martin Professor of Engineering, Professor of Electrical and Computer Engineering, and a Permanent member of the University of ...In this work, we present a method for RGB-based action recognition using multi-view videos. We present a supervised contrastive learning framework to learn a feature embedding robust to changes in viewpoint, by effectively leveraging multi-view data. We use an improved supervised contrastive loss and augment the positives with those coming from …Rama Chellappa is a College Park Professor in the Department of Electrical and Computer Engineering. Since 1991, he has been a professor of electrical engineering and an affiliate professor of computer science. He is also affiliated with the Center for Automation Research and previously served as its director. In 2005, he was named a Minta ...BACKGROUND. Prof. Rama Chellappa received the B.E. (Hons.) degree in Electronics and Communication Engineering from the University of Madras, India in 1975 and the M.E. (with Distinction) degree from the Indian Institute of Science, Bangalore, India in 1977. Ramanathan and Chellappa [22], [23] proposed a method to estimate the age separation between a pair of face images of an individual. Considering four age separation categories namely, 1–2 years, 3–4 years, 5–7 years and 8–9 years, they created intra-personal subspaces for each category using the difference images obtained from pairs of ...Zero-Shot Object Detection Ankan Bansal 1, Karan Sikka2, Gaurav Sharma3, Rama Chellappa1, and Ajay Divakaran2 1 University of Maryland, College Park, MD 2 SRI International, Princeton, NJ 3 NEC Labs America, Cupertino, CA Abstract. We introduce and tackle the problem of zero-shot object detection (ZSD), which aims to detect object …pdf; Prof. Rama Chellappa , Johns Hopkins University: - Pdf Link to a copy of his presentation Rama Chellappa Talk.pdf; Prof. Yingnian Wu , UCLA: - Pdf Link to ...Authors: Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi Download a PDF of the paper titled Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model, by Shraman Pramanick and 8 other authorsApr 12, 2018 · Zero-Shot Object Detection. Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, Ajay Divakaran. We introduce and tackle the problem of zero-shot object detection (ZSD), which aims to detect object classes which are not observed during training. We work with a challenging set of object classes, not restricting ourselves to similar and/or ... In the area of artificial intelligence, we have worked on topics such as knowledge representation, random forests, stochastic Petri nets, non-monotonic reasoning and ontologies with potential applications in computer vision and medicine. We are currently working on the “deepfakes” problem and knowledge representation in deep learning networks. Jun 16, 2021 · As the curation of data for machine learning becomes increasingly automated, dataset tampering is a mounting threat. Backdoor attackers tamper with training data to embed a vulnerability in models that are trained on that data. This vulnerability is then activated at inference time by placing a "trigger" into the model's input. Typical backdoor attacks insert the trigger directly into the ... Introduction. Vishal M. Patel, Rama Chellappa. Pages 1-2. Compressive Sensing. Vishal ... Rama Chellappa. Back to top. Bibliographic Information. Book Title: ...Generate To Adapt: Aligning Domains using Generative Adversarial Networks. Domain Adaptation is an actively researched problem in Computer Vision. In this work, we propose an approach that leverages unsupervised data to bring the source and target distributions closer in a learned joint feature space. We accomplish this by …Liked by Rama Chellappa. Experience Professor Univ. of Maryland, College Park Aug 2020 - Present 3 years 4 months. College Park Professor (non-tenure) position Bloomberg Distinguished Professor ... ... Chellappa Explains Ethics of AI in Semiconductor Engineering. Photo of Rama Chellappa. There's a wealth of insightful commentary on the future of Artificial ...Feb 7, 2023 · Chellappa, a Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering, was among 106 new members and 18 international members announced as part of NAE's Class of 2023 on Tuesday. Academy membership honors those who have made outstanding contributions to engineering research, practice, or education. JH AITC PI and Core Leader, Dr. Rama Chellappa, was interviewed by Laurie M. Orlov Principal Analyst, Aging and Health Technology Watch Future of AI and Older Adults for a report entitled, “The Future of AI and Older Adults Conversations Built on Data” (May 2023) This report is a first look at a fast-evolving technology and market space that can be of …Jun 16, 2021 · As the curation of data for machine learning becomes increasingly automated, dataset tampering is a mounting threat. Backdoor attackers tamper with training data to embed a vulnerability in models that are trained on that data. This vulnerability is then activated at inference time by placing a "trigger" into the model's input. Typical backdoor attacks insert the trigger directly into the ... Rama Chellappa is a Minta Martin Professor of Engineering, Professor of Electrical and Computer Engineering, and a Permanent member of the University of ...My guest today is Rama Chellappa. Rama Chellappa is a professor at Johns Hopkins University. He's a chief scientist at the Johns Hopkins Institute for assure...arXiv.org e-Print archiveFor a N × N pixel grid, the subspace of all integrable gradient fields is of dimension N 2 – 1. Our framework can be applied to derive a range of meaningful surface reconstructions from this high dimensional space. The key observation is that the range of solutions is related to the degree of anisotropy in applying weights to the gradients ...Ramanathan and Chellappa [22], [23] proposed a method to estimate the age separation between a pair of face images of an individual. Considering four age separation categories namely, 1–2 years, 3–4 years, 5–7 years and 8–9 years, they created intra-personal subspaces for each category using the difference images obtained from pairs of ...Authors: Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa Download a PDF of the paper titled Towards performant and reliable undersampled MR reconstruction via diffusion model sampling, by Cheng Peng and 4 …Co-authored by Dr. Rama Chellappa, Bloomberg Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering; Chief Scientist with the ...Artificial intelligence researcher Rama Chellappa was elected to the National Academy of Engineering, one of his field's highest distinctions, for his contributions to digital image analysis, automatic face …Rama Chellappa University of Maryland, College Park | UMD, UMCP, University of Maryland College Park · Center for Automation Research (CfAR) Ph.D. Purdue University, W. Lafayette, In 47907...Rama Chellappa has been appointed chief scientist for the Johns Hopkins Institute for Assured Autonomy (IAA). In this role, he will work to strengthen the IAA’s technical capabilities, expand external research collaboration opportunities, and develop the IAA’s scientific priorities.Pouya Samangouei, Maya Kabkab, Rama Chellappa. 15 Feb 2018 (modified: 22 Oct 2023) ICLR 2018 Conference Blind Submission Readers: Everyone. Abstract: In recent years, deep neural network approaches have been widely adopted for machine learning tasks, including classification. However, they were shown to be …I obtained my Ph.D under Prof. Rama Chellappa, for which I was awarded the ECE Distinguished Dissertation Award. I am interested in what makes a Machine Learning system trustworthy. I study this question from varied perspectives: Interpretable Auditing: Quantifying when ML systems fail and reasoning why they fail.May 12, 2023 ... Rama Chellappa, a Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering, ...Ketul Shah1 Anshul Shah1 Chun Pong Lau1 Celso M. de Melo2 Rama Chellappa1 1Johns Hopkins University 2DEVCOM Army Research Laboratory {kshah33, ashah95, clau13, rchella4}@jhu.edu [email protected] Abstract In this work, we present a method for RGB-based action recognition using multi-view videos. We present a super- …Dive into the research topics where Rama Chellappa is active. These topic labels come from the works of this person. Together they form a unique fingerprint. Amit Agrawal, Ramesh Raskar and Rama Chellappa ECCV 2006 (oral presentation) pdf ... Rama Chellappa and Ramesh Raskar ICCV 2005 pdf ...Rama Chellappa is a College Park Professor in the Department of Electrical and Computer Engineering. Since 1991, he has been a professor of electrical engineering and an affiliate professor of computer science. He is also affiliated with the Center for Automation Research and previously served as its director. Rama Chellappa, a Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering and chief scientist at the Johns Hopkins Institute for Assured Autonomy, is a pioneer in the area of computer vision, pattern recognition and artificial intelligence. His work in these areas have had a profound impact on areas ...In Can We Trust AI?, Dr. Rama Chellappa, a researcher and innovator with 40 years in the field, recounts the evolution of AI, its current uses, and how it will drive industries and shape lives in the future. Leading AI researchers, thought leaders, and entrepreneurs contribute their expertise as well on how AI works, what we can expect …Rama Chellappa (Life Fellow, IEEE) is a Bloomberg Distinguished Professor of Electrical and Computer Engineering and Biomedical Engineering and a Chief Scientist with the Johns Hopkins Institute for Assured Autonomy. He is a Pioneer in the area of artificial intelligence. Yogesh Balaji, Swami Sankaranarayanan, Rama Chellappa. Abstract. Training models that generalize to new domains at test time is a problem of fundamental importance in machine learning. In this work, we encode this notion of domain generalization using a novel regularization function. We pose the problem of finding such a regularization function ...JH AITC PI and Core Leader, Dr. Rama Chellappa, was interviewed by Laurie M. Orlov Principal Analyst, Aging and Health Technology Watch Future of AI and Older Adults for a report entitled, “The Future of AI and Older Adults Conversations Built on Data” (May 2023) This report is a first look at a fast-evolving technology and market space that can be of benefit to older adults. @article{ Author = {Navaneeth Bodla and Bharat Singh and Rama Chellappa and Larry S. Davis}, Title = {Soft-NMS -- Improving Object Detection With One Line of Code}, Booktitle = {Proceedings of the IEEE International Conference on Computer Vision}, Year = {2017} } About. Object Detection Topics. detector coco pascal-voc Resources ...My guest today is Rama Chellappa. Rama Chellappa is a professor at Johns Hopkins University. He's a chief scientist at the Johns Hopkins Institute for assure...Rama Chellappa University of Maryland College Park, MD [email protected] Ser Nam Lim Avitas Systems, GE Global Research Boston, MA [email protected] Abstract Adversarial training has been shown to regularize deep neural networks in addition to increasing their robustness to adver-sarial examples. However, …Curriculum Vitae of Prof. Rama Chellappa Personal Information November 26, 2018 Chellappa, Ramalingam Rm # 4411 A.V. Williams Building Department of Electrical and Computer Engineering and Center for Automation Research University of Maryland College Park, MD 20742 Tel # (301) 405-4526 e-mail:[email protected] Rama Chellappa. Professor . 4411 A. V. Williams Building . 301.405.3656. 301.314.9115. Academic Web Page. Education: Ph.D., Purdue University (Electrical Engineering) Special Awards/Honors: IAPR Fellow, AAAS Fellow, IEEE Fellow, University Maryland Distinguished Faculty Research Fellow, University Maryland Distinguished Scholar-Teacher, 2010 …2020 – Present. Full Professor. University of Maryland, College Park (umd.edu) 1991 – 2020. Assistant Professor. University of Southern California (usc.edu) 1981 – 1991. PhD student. Purdue University (purdue.edu)Ankan Bansal Anirudh Nanduri Carlos D. Castillo Rajeev Ranjan Rama Chellappa University of Maryland, College Park fankan,snanduri,carlos,rranjan1,[email protected] Abstract Recent progress in face detection (including keypoint detection), and recognition is mainly being driven by (i) …In Can We Trust AI?, Dr. Rama Chellappa, a researcher and innovator with 40 years in the field, recounts the evolution of AI, its current uses, and how it will drive industries and shape lives in the future. Leading AI researchers, thought leaders, and entrepreneurs contribute their expertise as well on how AI works, what we can expect …Apr 3, 2020 · “Rama Chellappa is a truly exceptional researcher, leader, and mentor with a remarkable record of innovation in the areas of computer vision, pattern recognition, machine learning, and artificial intelligence,” says Johns Hopkins University Provost Sunil Kumar. “We are excited to welcome him to the Johns Hopkins community, where he will ... Rama Chellappa is an expert in computer vision, pattern recognition, image and signal processing, machine learning, and biometrics who uses data, geometry, and physics to help computer systems interpret the visual …Johns Hopkins artificial intelligence researcher Rama Chellappa has achieved one of his profession's highest distinctions: election to the National Academy of Engineering. Chellappa, a Bloomberg …If the latent space is highly compressed, the decoded output is more robust to degradations but shows worse fidelity. On the other hand, a more flexible latent ...Rama Chellappa University of Maryland College Park, MD [email protected] Ser Nam Lim Avitas Systems, GE Global Research Boston, MA [email protected] Abstract Adversarial training has been shown to regularize deep neural networks in addition to increasing their robustness to adver-sarial examples. However, …Frontal to Profile Face Verification in the Wild Soumyadip Sengupta1, Jun-Cheng Chen1, Carlos Castillo1, Vishal M. Patel2, Rama Chellappa1, and David W. Jacobs1 1Center for Automation Research, University of Maryland, College Park, MD 20740, USA. 2Department of Electrical and Computer Engineering Rutgers, The State University of …Rama Chellappa is a College Park Professor in the Department of Electrical and Computer Engineering. Since 1991, he has been a professor of electrical engineering and an affiliate professor of computer science. He is also affiliated with the Center for Automation Research and previously served as its director. robert t. frankot, member, ieee, and rama chellappa, senior member, ieee Abstract-Several recently developed techniques for reconstructing surface shape from shading information estimate surface ...Ramalingam "Rama" Chellappa, Dr. Wayne C. Westerman, Ms. Lila Ibrahim Liebat, Dr. Andrew P. Sage Jr., Dr. Joel S. Emer, Mr. Rick D. Hess, and Ragu ...Nate Alcala. Name: Nata Alcala Course: LLB Law Year of Study: 3 Graduation Year: 2023 What work experience did you do? I completed a vacation scheme internship at …Chellappa—a member of Center for Imaging Science, the Center for Language and Speech Processing, the Institute for Assured Autonomy, and the Mathematical Institute for Data Science at Johns Hopkins—was honored for "contributions to digital image analysis, automatic face recognition, and applications." "Rama is leading …Feb 1, 2024 ... Authors. Peter Abadir , Rama Chellappa. Affiliations. 1 Department of Medicine, Division of Geriatrics Medicine and Gerontology, Johns ...Rama Chellappa Computer Vision and Artificial Intelligence Rexford Ahima Diabetes Richard Huganir Neuroscience & Brain Sciences Sabine Stanley Planetary Physics Stephen Morgan Sociology and Education Steven Salzberg Computational Biology & Genomics Ulrich Mueller Neuroscience and Biology Soft-NMS is proposed, an algorithm which decays the detection scores of all other objects as a continuous function of their overlap with M and improves state-of-the-art in object detection from 39.8% to 40.9% with a single model. Non-maximum suppression is an integral part of the object detection pipeline. First, it sorts all detection boxes on the basis …Rama Chellappa, PhD, John Hopkins University Bloomberg Distinguished Professor in electrical, computer, and biomedical engineering, and co-author of "Can We Trust AI?" looks at the promise of AI in health care and how we can best utilize this extraordinary tool to save lives and improve health equity.Rajeev Ranjan, Member, IEEE, Vishal M. Patel, Senior Member, IEEE, and Rama Chellappa, Fellow, IEEE Abstract—We present an algorithm for simultaneous face detection, landmarks localization, pose estimation and gender recognition using deep convolutional neural networks (CNN). The proposed method called, HyperFace, fuses …Rate this book. Clear rating. 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars. Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition. by. Rama Chellappa, Aswin C. Sankaranarayanan, Ashok Veeraraghavan. 0.00 avg rating — 0 ratings — published 2010.Ketul Shah1 Anshul Shah1 Chun Pong Lau1 Celso M. de Melo2 Rama Chellappa1 1Johns Hopkins University 2DEVCOM Army Research Laboratory {kshah33, ashah95, clau13, rchella4}@jhu.edu [email protected] Abstract In this work, we present a method for RGB-based action recognition using multi-view videos. We present a super- …We present an algorithm for simultaneous face detection, landmarks localization, pose estimation and gender recognition using deep convolutional neural networks (CNN). The proposed method called, HyperFace, fuses the intermediate layers of a deep CNN using a separate CNN followed by a multi-task learning algorithm that …
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Rama Chellappa is a College Park Professor in the Department of Electrical and Computer Engineering. Since 1991, he has been a professor of electrical engineering and an affiliate professor of computer science. He is also affiliated with the Center for Automation Research and previously served as its director. In 2005, he was named a Minta Martin Professor of …Rama Chellappa is a Bloomberg Distinguished Professor in the Departments of Electrical and Computer Engineering and Biomedical Engineering at Johns Hopkins University …Rama Chellappa. University of Maryland, College Park; Department. Center for Automation Research (CfAR) View profile. Members (15) Vishal M Patel. University of Maryland, College Park; Upal Mahbub.Cheng Peng, Rama Chellappa: PDRF: Progressively Deblurring Radiance Field for Fast Scene Reconstruction from Blurry Images. AAAI 2023: 2029-2037. [c502] Pirazh Khorramshahi, Vineet Shenoy, Rama Chellappa: Robust and Scalable Vehicle Re-Identification via Self-Supervision. CVPR Workshops 2023: 5295-5304. Vineet R. Shenoy, Pirazh Khorramshahi, Rama Chellappa. Technical Report, 2022. We classify vehicle actions as such as "right turn", "left turn" and "straight through" by solving a sixth-order polynomial that depends on the vehicle's trajectory and the parametric definition of a movement. Towards real-time systems for Vehicle Re-Identification ...Prof. Rama Chellappa. Principal Investigator. Prof. Rama Chellappa is a Bloomberg Distinguished Professor with joint appointments in the Departments of Electrical and …Abstract. We propose a view-based approach to recognize humans from their gait. Two different image features have been considered: the width of the outer contour of the binarized silhouette of the walking person and the entire binary silhouette itself. To obtain the observation vector from the image features, we employ two different methods.For mains had a Chicken Pathia and Chicken Rogan Josh served with Pilau Rice, Chips and Chapatti bread, again no complaints. We finish with Pistachio Ice Cream. The service throughout was good and …Dec 10, 2020 · Ramalingam “Rama” Chellappa, a College Park Professor in electrical and computer engineering with an appointment in the University of Maryland Institute of Advanced Computer Studies (UMIACS), and S. Kevin Zhou (Ph.D. ’04, electrical engineering), a Professor at The Medical Imaging, Robotics, Analytical Computing Laboratory & Engineering ... Rama Chellappa. Minta Martin Professor of Engineering Director, Center for Automation Research University of Maryland, College Park Affiliations Contact Interests. 143. 77. i10-index. 720. 364. Ramalingam Chellappa. Bloomberg Distinguished Professor, Johns Hopkins University. Verified email at jhu.edu - Homepage. Image Analysis artificial intelligence biometrics Computer Vision Biomedical Data Science. Rama Chellappa is a Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering and a pioneer in artificial intelligence. He is known for his research on facial recognition, machine learning, and biomedical data science, and has been elected to the National Academy of Engineering and the IEEE Signal Processing Medal. Rama Chellappa, a Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering and chief scientist at the Johns Hopkins Institute for Assured Autonomy, is a pioneer in the area of artificial intelligence.His work in computer vision, pattern recognition, and machine learning have had a profound impact …Apr 14, 2017 · Non-maximum suppression is an integral part of the object detection pipeline. First, it sorts all detection boxes on the basis of their scores. The detection box M with the maximum score is selected and all other detection boxes with a significant overlap (using a pre-defined threshold) with M are suppressed. This process is recursively applied on the remaining boxes. As per the design of the ... My guest today is Rama Chellappa. Rama Chellappa is a professor at Johns Hopkins University. He's a chief scientist at the Johns Hopkins Institute for assure...Rama Chellappa is a College Park Professor in the Department of Electrical and Computer Engineering. Since 1991, he has been a professor of electrical engineering and an affiliate professor of computer science. He is also affiliated with the Center for Automation Research and previously served as its director. Dive into the research topics where Rama Chellappa is active. These topic labels come from the works of this person. Together they form a unique fingerprint ...2020 – Present. Full Professor. University of Maryland, College Park (umd.edu) 1991 – 2020. Assistant Professor. University of Southern California (usc.edu) 1981 – 1991. PhD student. Purdue University (purdue.edu) Sep 30, 2021 ... Rama Chellappa, Ph.D., a Bloomberg Distinguished Professor in Electrical and Computer Engineering and Biomedical Engineering in the School ...Generate To Adapt: Aligning Domains using Generative Adversarial Networks. Domain Adaptation is an actively researched problem in Computer Vision. In this work, we propose an approach that leverages unsupervised data to bring the source and target distributions closer in a learned joint feature space. We accomplish this by ….