| Video compression through image interpolation CY Wu, N Singhal, P Krahenbuhl Proceedings of the European conference on computer vision (ECCV), 416-431, 2018 | 345 | 2018 |
| A multi-view approach to audio-visual speaker verification L Sarı, K Singh, J Zhou, L Torresani, N Singhal, Y Saraf ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 42 | 2021 |
| On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models X Zhang, V Manohar, D Zhang, F Zhang, Y Shi, N Singhal, J Chan, ... 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 10 | 2021 |
| Transferring voice knowledge for acoustic event detection: An empirical study D Liang, Y Shi, Y Wang, N Singhal, A Xiao, J Shaw, E Thomaz, O Kalinli, ... arXiv preprint arXiv:2110.03174, 2021 | 4 | 2021 |
| Massively multilingual asr on 70 languages: Tokenization, architecture, and generalization capabilities A Tjandra, N Singhal, D Zhang, O Kalinli, A Mohamed, D Le, ML Seltzer ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Supplementary material: Video compression through image interpolation CY Wu, N Singhal, P Krähenbühl Tech. Rep, 2019 | 2 | 2019 |
| Reference Constrained Cartoon Colorization M Shah, N Singhal, T Nagarajan URL https://www. semanticscholar. org/paper/Reference-Constrained-Cartoon …, 2017 | 2 | 2017 |
| Image and video compression using deep network N Singhal | | 2018 |
| IMPLEMENTATION OF ROBOT DYNAMICS WITH STANDARD CONTROL LIBRARY N SINGHAL INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, ALLAHABAD, 2000 | | 2000 |
| DUALMASK-Object Instance Segmentation M Shah, N Singhal | | |
Philipp KrähenbühlUT AustinVerified email at cs.utexas.edu
