IIIT-Delhi Institutional Repository

Browsing Computer Science and Engineering by Author "Vatsa, Mayank (Advisor)"

Browsing Computer Science and Engineering by Author "Vatsa, Mayank (Advisor)"

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  • Adversary detection tool 
    Goel, Akhil; Singh, Anirudh; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-04-30)
    Extensive research on attacks on deep learning models has shown that these models are not as robust as they seem. A carefully designed low magnitude perturbation is enough to cause havoc and completely confuse the model. ...
  • Analysis and evaluation of algorithms for newborn face recognition 
    Agarwal, Mallika; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2017-04-18)
    Recognizing people with their face has received a lot of attention from the research community. However, face recognition for newborns is in a nascent stage. The need for effective identification of newborns has been rising ...
  • Animal biometrics 
    Sinha, Sanchit; Agarwal, Mohit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIITD-Delhi, 2019-04-26)
    Deforestation and loss of habitat have resulted in a rapid decline of certain species of primates in forests. On the other hand, the uncontrolled growth of a few species of primates in urban areas has led to safety issues ...
  • Biometric recognition for kids 
    Basak, Protichi; De, Saurabh; Vatsa, Mayank (Advisor) (2017-04-18)
    The idea of fusing multiple biometric modalities for the identification of an individual has received significant attention in the last two decades. However, this has been limited to recognizing adults only. With the quality ...
  • Context-aware face recognition 
    Kalra, Harshvardhan; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-07-06)
    Current face recognition systems make extensive use of class-wise disparate features drawn from faces in order to achieve state-of-the-art performances. However, there exists a multitude of information in a given image ...
  • Contributions in computer assisted diagnosis : breast cancer and autoimmune diseases 
    Agrawal, Praful; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2014-05-19)
    With the advent of research, it has been established that many leading diseases among women, such as breast cancer, cervical cancer, and autoimmune diseases, can be prevented if diagnosed at initial stage. This research ...
  • Coupled deep learning for multi-modal retrieval 
    Keswani, Sumit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2017-04)
    In past few years, cross-modal information retrieval has drawn much attention due to significant growth in the multimodal data. It takes one type of data as the query to retrieve relevant data of multiple modalities. For ...
  • Cross-spectral cross-resolution face recognition in videos 
    Gupta, Nikita; Gupta, Sanchit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2017-04-24)
    One of the challenging applications in face recognition is video surveillance, where unconstrained low-resolution video data is captured both in day and night time (visible and near-infrared) with multiple subjects in ...
  • Deep learning approach for face recognition with disguise variations 
    Chawla, Mohit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2019-07)
    With the increased interest in face recognition across di erent applications, the research in this area has ourished over the past few decades. However, face recognition with disguise variations has gained little ...
  • Detecting Iris spoofing attacks 
    Gupta, Mehak; Singh, Vishal; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-05-26)
    The deployment of biometrics features based person identification has increased significantly from border access to mobile unlock to electronic transactions. Iris recognition is considered as one of the most accurate ...
  • Emerging covariates of face recognition 
    Bhatt, Himanshu S; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2014-04-14)
    A covariate in face recognition can be defined as an effect that independently increases the intra-class variability or decreases the inter-class variability or both. Covariates such as pose, illumination, expression, ...
  • Face and gender classification in crowd video 
    Verma, Priyanka; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2015-12-03)
    Research in face and gender recognition under constrained environment has achieved an acceptable level of performance. There have been advancements in face and gender recognition in unconstrained environment, however, ...
  • Face detection and verication in unconstrained videos: challenges, detection, and benchmark evaluation 
    Shah, Mahek; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2015-12-05)
    With increasing security concerns, surveillance cameras are playing an important role in the society and face recognition in crowd is gaining more importance than ever. For video face recognition, researchers have primarily ...
  • Face recognition for forensics 
    Jain, Arushi; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2017-04-18)
    Face Recognition involves a wide range of applications, many of which are centered around forensic applications. Dead bodies in large-scale calamities like foods and earthquakes require to be identified. However, the bodies ...
  • Facial analysis under low resolution and disguise variations 
    Singh, Maneet; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2021-12)
    Automated facial analysis has widespread applicability in scenarios related to image tagging, access control, and surveillance. Initial research focused primarily on face recognition in constrained settings, where the ...
  • Fingerphoto authentication in an unconstrained environment 
    Chopra, Shaan; Vatsa, Mayank (Advisor); Singh, Richa (Advisor); Malhotra, Aakarsh (Advisor) (IIITD-Delhi, 2019-01-22)
    Biometrics based user authentication is rather popular in mobile devices using face and fingerprints as the primary modalities. Fingerphoto (an image of a person’s finger captured using an inbuilt smartphone camera) based ...
  • Gender classification using RGB-D videos 
    Agrawal, Navin; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2016-09-13)
    Gender classification is used in applications as a soft feature or attribute in biometrics to help identify people. Using gender classification as an indexing technique can boost the performance of facial-biometric. If the ...
  • Harnessing auxiliary information : new methods to improve person identification 
    Bharadwaj, Samarth; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2015-09-02)
    Large scale biometric identification systems still lack the versatility to handle challenging situations such as adverse imaging conditions, missing or corrupt data, and non-conventional operating scenarios. It is well ...
  • Heterogeneous deep metric learning for cross-modal biometric recognition 
    Garg, Rishabh; Baweja, Yashasvi; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2018-11)
    Heterogeneous biometric recognition requires matching images with variations such as resolution and spectrum. Heterogeneity in images often reduces the inter-class homogeneous distance while increasing the intra-class ...
  • Improving face recognition performance using color, shape, symmetry and texture attributes 
    Suri, Saksham; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-01-10)
    The human mind processes the information in a complex fashion including utilization of color, shape, texture and symmetry-related meta-information. but in conjunction with a strong (domain) knowledge, these can boost the ...

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