Chinmaya Devaraj

13 papers Misc 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
Diving Deep into the Motion Representation of Video-Text Models.
ACL (Findings)
Chinmaya Devaraj, Cornelia Fermüller, Yiannis Aloimonos
2024 J jnl
Diving Deep into the Motion Representation of Video-Text Models.
CoRR
Chinmaya Devaraj, Cornelia Fermüller, Yiannis Aloimonos
2024 — —
From parts to whole in Action and Object Understanding.
Chinmaya Devaraj
2023 J jnl
Forecasting Action Through Contact Representations From First Person Video.
IEEE Trans. Pattern Anal. Mach. Intell.
Eadom Dessalene, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos
2023 — conf
Incorporating Visual Grounding In GCN For Zero-shot Learning Of Human Object Interaction Actions.
CVPR Workshops
Chinmaya Devaraj, Cornelia Fermüller, Yiannis Aloimonos
2021 J jnl
Forecasting Action through Contact Representations from First Person Video.
CoRR
Eadom Dessalene, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos
2020 J jnl
Egocentric Object Manipulation Graphs.
CoRR
Eadom Dessalene, Michael Maynord, Chinmaya Devaraj, Cornelia Fermüller, Yiannis Aloimonos
2020 J jnl
Emergent Languages from Pretrained Embeddings Characterize Latent Concepts in Dynamic Imagery.
Int. J. Semantic Comput.
James R. Kubricht, Alberto Santamaría-Pang, Chinmaya Devaraj, Aritra Chowdhury, Peter H. Tu
2020 Misc conf
From Symbols to Signals: Symbolic Variational Autoencoders.
ICASSP
Chinmaya Devaraj, Aritra Chowdhury, Arpit Jain, James R. Kubricht, Peter H. Tu, Alberto Santamaría-Pang
2019 — conf
Towards Semantic Action Analysis via Emergent Language.
AIVR
Alberto Santamaría-Pang, James R. Kubricht, Chinmaya Devaraj, Aritra Chowdhury, Peter H. Tu
2018 — conf
Evenly Cascaded Convolutional Networks.
IEEE BigData
Chengxi Ye, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos
2018 J jnl
Evenly Cascaded Convolutional Networks.
CoRR
Chengxi Ye, Chinmaya Devaraj, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos
2015 J jnl
On Optimizing Human-Machine Task Assignments.
CoRR
Andreas Veit, Michael J. Wilber, Rajan Vaish, Serge J. Belongie, James Davis, Vishal Anand, Anshu Aviral, Prithvijit Chakrabarty, Yash Chandak, Sidharth Chaturvedi, Chinmaya Devaraj, Ankit Dhall, Utkarsh Dwivedi, Sanket Gupte, Sharath N. Sridhar, Karthik Paga, Anuj Pahuja, Aditya Raisinghani, Ayush Sharma, Shweta Sharma, Darpana Sinha, Nisarg Thakkar, K. Bala Vignesh, Utkarsh Verma, Kanniganti Abhishek, Amod Agrawal, Arya Aishwarya, Aurgho Bhattacharjee, Sarveshwaran Dhanasekar, Venkata Karthik Gullapalli, Shuchita Gupta, Chandana G, Kinjal Jain, Simran Kapur, Meghana Kasula, Shashi Kumar, Parth Kundaliya, Utkarsh Mathur, Alankrit Mishra, Aayush Mudgal, Aditya Nadimpalli, Munakala Sree Nihit, Akanksha Periwal, Ayush Sagar, Ayush Shah, Vikas Sharma, Yashovardhan Sharma, Faizal Siddiqui, Virender Singh, Abhinav S., Pradyumna Tambwekar, Rashida Taskin, Ankit Tripathi, Anurag D. Yadav