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2020 – today
- 2024
[c11]Deqian Kong, Furqan Khan, Xu Zhang, Prateek Singhal, Ying Nian Wu:
Long-Term Social Interaction Context: The Key to Egocentric Addressee Detection. ICASSP 2024: 8250-8254- [c10]Jianwei Feng, Prateek Singhal:
3D Face Style Transfer with a Hybrid Solution of NeRF and Mesh Rasterization. WACV 2024: 3492-3501 - 2023
- [c9]Shuwen Qiu, Nitesh Sekhar, Prateek Singhal:
Topic and Style-aware Transformer for Multimodal Emotion Recognition. ACL (Findings) 2023: 2074-2082 - [c8]Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda:
Avoiding spurious correlations via logit correction. ICLR 2023 - [c7]Xiruo Liu, Furqan Khan, Yue Niu, Pradeep Natarajan, Rinat Khaziev
, Salman Avestimehr, Prateek Singhal:
Performance and Failure Cause Estimation for Machine Learning Systems in the Wild. ICVS 2023: 377-390 - [c6]Gourav Datta, Boshi Huang, Nitesh Sekhar, Vivek Yadav, Shih-Yao Lin, Ayush Jaiswal, Prateek Singhal:
Listening Style-Aware Dyadic Facial Motion Generation. STRL@IJCAI 2023 - [i7]Moulik Choraria, Nitesh Sekhar, Yue Wu, Xu Zhang, Prateek Singhal, Lav R. Varshney:
Language Grounded QFormer for Efficient Vision Language Understanding. CoRR abs/2311.07449 (2023) - [i6]Jianwei Feng, Prateek Singhal:
3D Face Style Transfer with a Hybrid Solution of NeRF and Mesh Rasterization. CoRR abs/2311.13168 (2023) - 2022
- [c5]Yu Yang, Aayush Gupta, Jianwei Feng, Prateek Singhal, Vivek Yadav, Yue Wu, Pradeep Natarajan, Varsha Hedau, Jungseock Joo:
Enhancing Fairness in Face Detection in Computer Vision Systems by Demographic Bias Mitigation. AIES 2022: 813-822 - [i5]Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda:
Avoiding spurious correlations via logit correction. CoRR abs/2212.01433 (2022)
2010 – 2019
- 2016
- [i4]Prateek Singhal, Ruffin White, Henrik I. Christensen:
Multi-modal Tracking for Object based SLAM. CoRR abs/1603.04117 (2016) - 2015
- [c4]N. Dinesh Reddy, Prateek Singhal, Visesh Chari, K. Madhava Krishna:
Dynamic body VSLAM with semantic constraints. IROS 2015: 1897-1904 - [i3]N. Dinesh Reddy, Prateek Singhal, K. Madhava Krishna:
Semantic Motion Segmentation Using Dense CRF Formulation. CoRR abs/1504.06587 (2015) - [i2]N. Dinesh Reddy, Prateek Singhal, Visesh Chari, K. Madhava Krishna:
Dynamic Body VSLAM with Semantic Constraints. CoRR abs/1504.07269 (2015) - 2014
- [c3]Prateek Singhal, Aditya Deshpande, Harit Pandya, N. Dinesh Reddy, K. Madhava Krishna:
Top Down Approach to Detect Multiple Planes from Pair of Images. ICVGIP 2014: 53:1-53:8 - [c2]N. Dinesh Reddy, Prateek Singhal, K. Madhava Krishna:
Semantic Motion Segmentation Using Dense CRF Formulation. ICVGIP 2014: 56:1-56:8 - 2013
- [j1]Anil Sawhney, Prateek Singhal:
Drivers and Barriers to the Use of Building Information Modelling in India. Int. J. 3 D Inf. Model. 2(3): 46-63 (2013) - [i1]Prateek Singhal, Aditya Deshpande, N. Dinesh Reddy, K. Madhava Krishna:
Top Down Approach to Multiple Plane Detection. CoRR abs/1312.6506 (2013) - 2012
- [c1]Ramesh Nellapati, Sanga Peerreddy, Prateek Singhal:
Skierarchy: Extending the Power of Crowdsourcing Using a Hierarchy of Domain Experts, Crowd and Machine Learning. TREC 2012
Coauthor Index
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