Zobrazeno 1 - 10
of 5 038
pro vyhledávání: '"P. Gunjan"'
Autor:
Ouyang, Xiaomin, Wu, Jason, Kimura, Tomoyoshi, Lin, Yihan, Verma, Gunjan, Abdelzaher, Tarek, Srivastava, Mani
Multimodal sensing systems are increasingly prevalent in various real-world applications. Most existing multimodal learning approaches heavily rely on training with a large amount of complete multimodal data. However, such a setting is impractical in
Externí odkaz:
http://arxiv.org/abs/2411.12126
Autor:
Chang, Matthew, Chhablani, Gunjan, Clegg, Alexander, Cote, Mikael Dallaire, Desai, Ruta, Hlavac, Michal, Karashchuk, Vladimir, Krantz, Jacob, Mottaghi, Roozbeh, Parashar, Priyam, Patki, Siddharth, Prasad, Ishita, Puig, Xavier, Rai, Akshara, Ramrakhya, Ram, Tran, Daniel, Truong, Joanne, Turner, John M., Undersander, Eric, Yang, Tsung-Yen
We present a benchmark for Planning And Reasoning Tasks in humaN-Robot collaboration (PARTNR) designed to study human-robot coordination in household activities. PARTNR tasks exhibit characteristics of everyday tasks, such as spatial, temporal, and h
Externí odkaz:
http://arxiv.org/abs/2411.00081
Autor:
Pathre, Pranjali, Gupta, Gunjan, Qureshi, M. Nomaan, Brunda, Mandyam, Brahmbhatt, Samarth, Krishna, K. Madhava
Visual servoing, the method of controlling robot motion through feedback from visual sensors, has seen significant advancements with the integration of optical flow-based methods. However, its application remains limited by inherent challenges, such
Externí odkaz:
http://arxiv.org/abs/2410.12432
In this work, we show a fundamental limitation in vocabulary adaptation approaches that use Byte-Pair Encoding (BPE) tokenization scheme for fine-tuning pretrained language models (PLMs) to expert domains. Current approaches trivially append the targ
Externí odkaz:
http://arxiv.org/abs/2410.03258
Autor:
Elawady, Ahmad, Chhablani, Gunjan, Ramrakhya, Ram, Yadav, Karmesh, Batra, Dhruv, Kira, Zsolt, Szot, Andrew
Intelligent embodied agents need to quickly adapt to new scenarios by integrating long histories of experience into decision-making. For instance, a robot in an unfamiliar house initially wouldn't know the locations of objects needed for tasks and mi
Externí odkaz:
http://arxiv.org/abs/2410.02751
Autor:
Handa, Palak, Dhir, Manas, Mahbod, Amirreza, Schwarzhans, Florian, Woitek, Ramona, Goel, Nidhi, Gunjan, Deepak
Computer-based analysis of Wireless Capsule Endoscopy (WCE) is crucial. However, a medically annotated WCE dataset for training and evaluation of automatic classification, detection, and segmentation of bleeding and non-bleeding frames is currently l
Externí odkaz:
http://arxiv.org/abs/2408.12466
Autor:
Erfaniantaghvayi, Negar, Zhao, Zhongyuan, Chan, Kevin, Verma, Gunjan, Swami, Ananthram, Segarra, Santiago
A mixture of streaming and short-lived traffic presents a common yet challenging scenario for Backpressure routing in wireless multi-hop networks. Although state-of-the-art shortest-path biased backpressure (SP-BP) can significantly improve the laten
Externí odkaz:
http://arxiv.org/abs/2408.12702
As digital twins (DTs) to physical communication systems, network simulators can aid the design and deployment of communication networks. However, time-consuming simulations must be run for every new set of network configurations. Learnable digital t
Externí odkaz:
http://arxiv.org/abs/2408.09040
Autor:
Handa, Palak, Mahbod, Amirreza, Schwarzhans, Florian, Woitek, Ramona, Goel, Nidhi, Chhabra, Deepti, Jha, Shreshtha, Dhir, Manas, Gunjan, Deepak, Kakarla, Jagadeesh, Raman, Balasubramanian
We present the Capsule Vision 2024 Challenge: Multi-Class Abnormality Classification for Video Capsule Endoscopy. It is being virtually organized by the Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Department of Med
Externí odkaz:
http://arxiv.org/abs/2408.04940
In extremal combinatorics, it is common to focus on structures that are minimal with respect to a certain property. In particular, critical and list-critical graphs occupy a prominent place in graph coloring theory. Stiebitz, Tuza, and Voigt introduc
Externí odkaz:
http://arxiv.org/abs/2408.04538