Page 62 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks
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ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4





          [73] Zhe Cao, Gines Hidalgo, Tomas Simon, Shih‑En    area of interest is multimodal AI along with the foun‑
               Wei, and Yaser Sheikh. “OpenPose: realtime multi‑  dation and theoretical aspect of machine learning. He
               person 2D pose estimation using Part Af inity   has published papers in top conferences such as CVPR,
               Fields”. In: arXiv preprint arXiv:1812.08008. 2018.  Interspeech & IJCAI.
          [74] Yannis M Assael, Brendan Shillingford, Shimon                        Dr. Ankur Narang is currently
               Whiteson, and Nando de Freitas. “LipNet: End‑to‑                     the VP of AI technologies at Hike
               End Sentence‑level Lipreading”. In: GPU Technology                   Private Limited.  He holds a
               Conference (2017). URL: https://github.com/                          B.Tech. & Ph.D. from IIT Delhi in
               Fengdalu/LipNet-PyTorch.                                             CSE and has 40+ publications in
                                                                                    top international computer sci‑
          [75] T. Soukupová and Jan Cech. “Real‑Time Eye Blink
               Detection using Facial Landmarks”. In: 2016.                         ence machine learning confer‑
                                                               ences and journals, along with 15 granted US patents. He
          [76] Lele Chen, Zhiheng Li, Ross K. Maddox, Zhiyao   was one amongst Top 10 data scientists in India in 2017
               Duan, and Chenliang Xu. “Lip Movements Gener‑   (Analytics India Mag) in recognition of solid scienti ic and
               ation at a Glance”. In: (2018). arXiv: 1803.10404  industry contributions to the  ield of data science and ar‑
               [cs.CV].                                        ti icial intelligence. In 2018, he was given the Top 50 An‑
          [77] Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia,  alytics Award at the MachineCon conference in recogni‑
               and Dimitris Metaxas. Learning to Forecast and Re‑  tion of exemplary leadership and contributions to ML/AI
                ine Residual Motion for Image‑to‑Video Generation.  (Analytics India Magazine). He was also conferred Top
               2018.                                           100 Innovative CIO Award in 2019, for distinguished lead‑
                                                               ership in innovative technologies based digital transfor‑
          [78] D.E. King. “Dlib‑ml: A machine learning toolkit.  mation (CIO Axis). In 2002, he was awarded Sun Mi‑
               Journal of Machine Learning Research”. In: (2009).
                                                               crosystem’s prestigious “Innovation Leadership Award”
          [79] Diederik Kingma and Jimmy Ba. “Adam: A Method   for signi icant contributions to the Hardware Accelera‑
               for Stochastic Optimization”. In: International Con‑  tion Project.
               ference on Learning Representations (Dec. 2014).
                                                                                    Dr.  Brejesh Lall is a profes‑
          [80] Aliaksandr Siarohin, Stéphane Lathuilière, Sergey                  sor at Electrical Engineering De‑
               Tulyakov, Elisa Ricci, and Nicu Sebe. “First Order                   partment at IIT Delhi and has
               Motion Model for Image Animation”. In: (2020).                       contributed to research & teach‑
               arXiv: 2003.00196 [cs.CV].                                           ing in the general area of sig‑
                                                                                    nal processing. He is the head
          [81] Guilin Liu, Kevin J. Shih, Ting‑Chun Wang, Fitsum
               A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao,                        of Bharti School of Telcom Tech‑
               and Bryan Catanzaro. “Partial Convolution based                      nology and Management, and
               Padding”. In: arXiv preprint arXiv:1811.11718.  the coordinator of two centers of excellence, viz. Airtel IIT
               2018.                                           Delhi Centre of Excellence in Telecommunications and Er‑
                                                               icsson IIT Delhi 5G Center of Excellence. He is also the in‑
          [82] Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting‑Chun  charge of an IoT laboratory that he set up in collaboration
               Wang, Andrew Tao, and Bryan Catanzaro. “Image   with Samsung. Besides this, he is the NCC co‑ordinator
               Inpainting for Irregular Holes Using Partial Convo‑  of IIT Delhi. The areas in which he has been publishing
               lutions”. In: The European Conference on Computer  and doing sponsored research are centered on signal pro‑
               Vision (ECCV). 2018.                            cessing. The areas include object representation, track‑

          [83] Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li,  ing and classi ication, odometry, depth map generation,
               Wangmeng Zuo, and Qinghua Hu. ECA‑Net: Ef icient  representation and rendering. He is also exploring vector
               Channel Attention for Deep Convolutional Neural  sensor‑based underwater acoustic communications, and
               Networks. Oct. 2019.                            performanceissuesinmolecularcommunications. Hehas
                                                               mentored 5 startups, in the areas of virtualization, ge‑
                                                               ofencing, UAV based solutions and recommendations and
          AUTHORS                                              data mining. He actively participates in building and de‑
                                                               ploying technology. He has also served as an expert in nu‑
                               Neeraj Kumar is currently       merous government and private agencies in aspects re‑
                               working as Senior Machine       lated to signal processing.
                               Learning Scientist at Hike Pri‑
                               vate Limited, India. He is also a                Nitish   Kumar   Singh   is   cur-
                               PHD student at Indian Institute                  rently   working   in   the   area   of
                               of Technology, Delhi, India and                  speech,  text  and  vision.   He  has
                               completed his B‑tech(ECE) from                   completed  his  post  graduation from
                               Indian Institute of Technology,                  Manipal   Institute   of  Technology,
                               Kharagpur, India. His current                    Bangalore.



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