no code implementations • IEEE/ACM Transactions on Audio, Speech, and Language Processing 2024 • Vibhav Agarwal, Sourav Ghosh, Harichandana BSS, Himanshu Arora, Barath Raj Kandur Raja
Data-to-text (D2T) generation is a crucial task in many natural language understanding (NLU) applications and forms the foundation of task-oriented dialog systems.
Ranked #3 on Data-to-Text Generation on E2E NLG Challenge
no code implementations • 1 Dec 2023 • Fatemeh Taheri Dezaki, Himanshu Arora, Rahul Suresh, Amin Banitalebi-Dehkordi
An intelligent approach for product discovery is required to enhance the makeup shopping experience to make it more convenient and satisfying.
1 code implementation • 6 Sep 2022 • Jiayun Wang, Sangryul Jeon, Stella X. Yu, Xi Zhang, Himanshu Arora, Yu Lou
Taking this advantage, we synthesize a photo-realistic image by combining the structure of a sketch and the visual style of a reference photo.
no code implementations • 11 Apr 2022 • Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, Rene Vidal
The architecture consists of a graph encoder that maps the input graph to a structured latent space, and a graph decoder that generates a furniture graph, given a latent code and the room graph.
no code implementations • 22 Dec 2021 • Sumit Kumar, Harichandana B S S, Himanshu Arora
To the best of our knowledge, this is the first work that shows how to add emoji(s) in the transcribed text.
1 code implementation • CVPR 2022 • Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F. Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, Jitendra Malik
ABO contains product catalog images, metadata, and artist-created 3D models with complex geometries and physically-based materials that correspond to real, household objects.
no code implementations • 6 Oct 2021 • Vibhav Agarwal, Sudeep Deepak Shivnikar, Sourav Ghosh, Himanshu Arora, Yashwant Saini
To build high-quality real-world conversational solutions for edge devices, there is a need for deploying intent detection model on device.
Ranked #1 on Intent Detection on SNIPS (model size metric)
no code implementations • 1 Oct 2021 • Xi Zhang, Chun-Kai Wang, Kenan Deng, Tomas Yago-Vicente, Himanshu Arora
In addition to using learnt robust features, our approach learns an additional ranking function to estimate the final layout instead of using optimization.
no code implementations • 30 Jun 2021 • Himanshu Arora, Saurabh Mishra, Shichong Peng, Ke Li, Ali Mahdavi-Amiri
Shape completion is the problem of completing partial input shapes such as partial scans.
no code implementations • ICON 2020 • Sudeep Deepak Shivnikar, Himanshu Arora, Harichandana B S S
Our experiments prove that our proposed model outperforms existing approaches and achieves state-of-the-art results on benchmark datasets.
1 code implementation • ECCV 2020 • Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora
Contextual Diversity (CD) hinges on a crucial observation that the probability vector predicted by a CNN for a region of interest typically contains information from a larger receptive field.