• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 58 matches

• 2025
• 
  Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring:
  Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 19-31 (2025)
• 2024
• 
  Palani Thanaraj Krishnan, Pradeep Krishnadoss, Mukund Khandelwal, Devansh Gupta, Anupoju Nihaal, T. Sunil Kumar:
  Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer. Frontiers Neuroinformatics 18 (2024)
• 
  Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbeláez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray:
  Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CVPR 2024: 19383-19400
• 
  Devansh Bhardwaj, Kshitiz Kaushik, Sarthak Gupta:
  Accelerated Smoothing: A Scalable Approach to Randomized Smoothing. CoRR abs/2402.07498 (2024)
• 
  Mandar Datar, Dhruva S. Hegde, Vendra Durga Prasad, Manish Prajapati, Neralla Manikanta, Devansh Gupta, Janampalli Pavanija, Pratyush Pare, Akash, Shivam Gupta, Sachin B. Patkar:
  Python-based DSL for generating Verilog model of Synchronous Digital Circuits. CoRR abs/2406.09208 (2024)
• 
  Ahan Gupta, Yueming Yuan, Devansh Jain, Yuhao Ge, David Aponte, Yanqi Zhou, Charith Mendis:
  SPLAT: A framework for optimised GPU code-generation for SParse reguLar ATtention. CoRR abs/2407.16847 (2024)
• 2023
• 
  Gurleen Kaur, Bakul Gupta, Devanshi Saini, Kashika Mohindru, Anushka Nehra:
  SecGes: A Secure Biometric-Driven Hand Gesture Recognition System for Smart Wheelchair Movement. ANTS 2023: 1-6
• 
  Tanishq Gupta, Mohd Zaki, Devanshi Khatsuriya, Kausik Hira, N. M. Anoop Krishnan, Mausam:
  DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles. ACL (1) 2023: 13465-13483
• 
  Devanshi, Shuvam Mishra, Sahil Gupta, Ritika Singh, Santos Kumar Baliarsingh:
  A Comparative Study of Deep Learning Models for American SL Recognition. ICCCNT 2023: 1-7
• 
  Yash Pratap Singh, Devansh Chaudhary, Aham Gupta, Mohd Wajid, Mohammed Usman:
  Environmental Acoustic Noise Extraction and Classification using Deep Learning. ICCCNT 2023: 1-6
• 
  Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen:
  RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 2023: 1526-1535
• 
  Andrew Lowy, Devansh Gupta, Meisam Razaviyayn:
  Stochastic Differentially Private and Fair Learning. ICLR 2023
• 
  Devansh Gupta, Aditya Saini, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain, Drishti Bhasin, Ponnurangam Kumaraguru, Rajiv Ratn Shah:
  A Suspect Identification Framework using Contrastive Relevance Feedback. WACV 2023: 4350-4358
• 
  Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, María Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina González, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, et al.:
  Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. CoRR abs/2311.18259 (2023)
• 
  Anupriya Kumari, Devansh Bhardwaj, Sukrit Jindal, Sarthak Gupta:
  Trust, But Verify: A Survey of Randomized Smoothing Techniques. CoRR abs/2312.12608 (2023)
• 2022
• 
  Devanshu Tiwari, Manish Dixit, Kamlesh Gupta:
  Breast cancer-caps: a breast cancer screening system based on capsule network utilizing the multiview breast thermal infrared images. Turkish J. Electr. Eng. Comput. Sci. 30(5): 1804-1820 (2022)
• 
  Devansh Gupta, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Ponnurangam Kumaraguru, Rajiv Ratn Shah:
  Contrastive Personalization Approach to Suspect Identification (Student Abstract). AAAI 2022: 12961-12962
• 
  Samyak Agrawal, Kshitij Gupta, Devansh Gautam, Radhika Mamidi:
  Towards Detecting Political Bias in Hindi News Articles. ACL (student) 2022: 239-244
• 
  Andrew Lowy, Devansh Gupta, Meisam Razaviyayn:
  Stochastic Differentially Private and Fair Learning. AFCP 2022: 86-119
• 
  Meghna Gupta, Devansh Mehta, Anandita Punj, Indrani Medhi-Thies:
  Sophistication with Limitation: Understanding Smartphone Usage by Emergent Users in India. COMPASS 2022: 386-400
• 
  Devansh Gupta, Vinayak Abrol:
  Time-Frequency and Geometric Analysis of Task-Dependent Learning in Raw Waveform Based Acoustic Models. ICASSP 2022: 4323-4327
• 
  Kshitij Gupta, Devansh Gautam, Radhika Mamidi:
  cViL: Cross-Lingual Training of Vision-Language Models using Knowledge Distillation. ICPR 2022: 1734-1741
• 
  Devansh Gupta, Aditya Saini, Drishti Bhasin, Sarthak Bhagat, Shagun Uppal, Rishi Raj Jain, Ponnurangam Kumaraguru, Rajiv Ratn Shah:
  FaIRCoP: Facial Image Retrieval using Contrastive Personalization. CoRR abs/2205.15870 (2022)
• 
  Kshitij Gupta, Devansh Gautam, Radhika Mamidi:
  cViL: Cross-Lingual Training of Vision-Language Models using Knowledge Distillation. CoRR abs/2206.03354 (2022)
• 
  Andrew Lowy, Devansh Gupta, Meisam Razaviyayn:
  Stochastic Differentially Private and Fair Learning. CoRR abs/2210.08781 (2022)
• 2021
• 
  Devanshu Tiwari, Manish Dixit, Kamlesh Gupta:
  Deep Multi-View Breast Cancer Detection: A Multi-View Concatenated Infrared Thermal Images Based Breast Cancer Detection System Using Deep Transfer Learning. Traitement du Signal 38(6): 1699-1711 (2021)
• 
  Devansh Gautam, Kshitij Gupta, Manish Shrivastava:
  Translate and Classify: Improving Sequence Level Classification for English-Hindi Code-Mixed Data. CALCS@NAACL 2021: 15-25
• 
  Devansh Gautam, Prashant Kodali, Kshitij Gupta, Anmol Goel, Manish Shrivastava, Ponnurangam Kumaraguru:
  CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences. CALCS@NAACL 2021: 47-55
• 
  Kshitij Gupta, Devansh Gautam, Radhika Mamidi:
  ViTA: Visual-Linguistic Translation by Aligning Object Tags. WAT@ACL/IJCNLP 2021: 166-173
• 
  Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
  Livestock Monitoring with Transformer. BMVC 2021: 323

skipping 28 more matches