Hitika Tiwari
QualificationDr. Hitika Tiwari is currently an Assistant Professor of IT Systems and Analytics at the Indian Institute of Management (IIM) Jammu. Before joining IIM Jammu, she worked as a Research Scientist in the AI and Data Division at Rakuten Group, Inc., Tokyo, Japan.
Dr. Tiwari holds dual Ph.D. degrees: one completed in 2023 from NYCU Taiwan jointly with IIT Kanpur, and the other completed from IIT Kanpur (2019–2024), focusing on deep learning-based computer vision, with an emphasis on unsupervised and self-supervised techniques. She completed her M.Tech from IIT Mandi (2017–2019) and her B.Tech from the University Institute of Engineering and Technology (UIET), Kanpur (2012–2016).
Dr. Tiwari has a strong commitment to teaching and mentoring. She served as a tutor in the Department of Electrical Engineering at IIT Kanpur during the 2022-23 (sem 1) and 2023-24 (sem 1).
As a quality-focused researcher, Dr. Tiwari has published in top-tier venues such as IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), British Machine Vision Conference (BMVC), and Image and Vision Computing (IMAVIS). Her research interests are centered on Computer Vision and Deep Learning, with a focus on addressing real-world challenges. In addition to her research and teaching, Dr. Tiwari is an innovator, holding two patents—one granted and the other applied—for her work in AI and computer vision.
- Ph.D. (2019–2024), Indian Institute of Technology (IIT) Kanpur
2. Dual Ph.D. (2020-2023)
NYCU Taiwan (jointly with IIT Kanpur)
3. M.Tech (2017–2019)
Indian Institute of Technology (IIT) Mandi
4. B.Tech (2012–2016)
University Institute of Engineering and Technology (UIET), Kanpur
- IIM Jammu, India
- Rakuten Group, Inc., Japan
- MediaTek Inc., Taiwan
- Tiwari, H. & Kurmi, V. (2023). Distilling knowledge for occlusion robust monocular 3D face reconstruction. Image and Vision Computing (IMAVIS), 137, (SCI/SSCI/ESCI), DOI : https://doi.org/10.1016/j.imavis.2023.104763
- Tiwari, H., Venkatesh, K. & Chen, Y. (2023). Towards reduced dependency and faster unsupervised 3D face reconstruction. Journal of Real-Time Image Processing (JRTIP), 20, (SCI/SSCI/ESCI), DOI : 10.1007/s11554-023-01257-z
- Tiwari, H., Venkatesh, K. & Chen, Y. (2022). Real-time self-supervised achromatic face colorization. The Visual Computer (TVCJ), 39, 6521-6536. (SCI/SSCI/ESCI), DOI : 10.1007/s00371-022-02746-1
- Tiwari, A., Tiwari, H., Subramanian, V. & Sharma, A.K. (2024). Enhancing video stability with object-centric stabilization. IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) (pp.593-599).
- Tiwari, H., Kurmi, V., Venkatesh, K. & Chen, Y. (2022). Occlusion resistant network for 3D face reconstruction. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp.813-822).
- Tiwari, H. & Subramanian, V. (2022). Reduced dependency fast unsupervised 3D face reconstruction. IEEE International Conference on Image Processing (ICIP) (pp.1021-1025).
- Tiwari, H. & Subramanian, V. (2022). Self-supervised cooperative colorization of achromatic faces. IEEE International Conference on Image Processing (ICIP) (pp.236-240).
- Tiwari, H., Chen, M., Tsai, Y., Kuo, H. & Chen and others, H. (2022). Self-supervised robustifying guidance for monocular 3D face reconstruction. British Machine Vision Conference Proceedings (BMVC)
- Tiwari, H. & Thakor, S. (2019). On characterization of entropic vectors at the boundary of almost entropic cones. IEEE Information Theory Workshop (ITW) (pp.1-5).
- Business Analytics
- Business Modeling
- 2020–2023: Recipient of NYCU Ph.D. Fellowship
- 2022: Recipient of ACM-W Scholarship
- 2022: Recipient of IEEE Signal Processing Society Travel Grant
- 2021: Awarded MediaTek Fall Fellowship for 6 months in Taiwan
- 2021: Awarded MediaTek Spring Fellowship for 6 months in Taiwan
- 2020–2021: Awarded Micron Fellowship for 1 year in Taiwan
- Dr. Tiwari has served as a reviewer for several prestigious venues, including Image and Vision Computing, Computer and Electrical Engineering, International Journal of Image and Graphics, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF Winter Conference on Computer Vision (WACV), and the Asian Conference on Computer Vision (ACCV), among others.