Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Srivastava, Avikalp"'
Motion forecasting has become an increasingly critical component of autonomous robotic systems. Onboard compute budgets typically limit the accuracy of real-time systems. In this work we propose methods of improving motion forecasting systems subject
Externí odkaz:
http://arxiv.org/abs/2404.03843
Autor:
Varadarajan, Balakrishnan, Hefny, Ahmed, Srivastava, Avikalp, Refaat, Khaled S., Nayakanti, Nigamaa, Cornman, Andre, Chen, Kan, Douillard, Bertrand, Lam, Chi Pang, Anguelov, Dragomir, Sapp, Benjamin
Predicting the future behavior of road users is one of the most challenging and important problems in autonomous driving. Applying deep learning to this problem requires fusing heterogeneous world state in the form of rich perception signals and map
Externí odkaz:
http://arxiv.org/abs/2111.14973
Question categorization and expert retrieval methods have been crucial for information organization and accessibility in community question & answering (CQA) platforms. Research in this area, however, has dealt with only the text modality. With the i
Externí odkaz:
http://arxiv.org/abs/1808.09648
Autor:
Srivastava, Avikalp, Datt, Madhav
Semantic similarity based retrieval is playing an increasingly important role in many IR systems such as modern web search, question-answering, similar document retrieval etc. Improvements in retrieval of semantically similar content are very signifi
Externí odkaz:
http://arxiv.org/abs/1712.05574
Autor:
Srivastava, Avikalp, Datt, Madhav, Chaparala, Jaikrishna, Mangla, Shubham, Patnaik, Priyadarshi
Corporations spend millions of dollars on developing creative image-based promotional content to advertise to their user-base on platforms like Twitter. Our paper is an initial study, where we propose a novel method to evaluate and improve outreach o
Externí odkaz:
http://arxiv.org/abs/1705.02146