Search Results - "Vedder, Kyle"

X: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs by Vedder, Kyle, Biswas, Joydeep

“…Real-world multi-agent systems such as warehouse robots operate under significant time constraints – in such settings, rather than spending significant amounts…”
Get full text

Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems by Vedder, Kyle, Eaton, Eric

“…Bird's Eye View (BEV) is a popular representation for processing 3D point clouds, and by its nature is fundamentally sparse. Motivated by the computational…”
Get full text

A domain-agnostic approach for characterization of lifelong learning systems by Baker, Megan M., New, Alexander, Aguilar-Simon, Mario, Al-Halah, Ziad, Arnold, Sébastien M.R., Ben-Iwhiwhu, Ese, Brna, Andrew P., Brooks, Ethan, Brown, Ryan C., Daniels, Zachary, Daram, Anurag, Delattre, Fabien, Dellana, Ryan, Eaton, Eric, Fu, Haotian, Grauman, Kristen, Hostetler, Jesse, Iqbal, Shariq, Kent, Cassandra, Ketz, Nicholas, Kolouri, Soheil, Konidaris, George, Kudithipudi, Dhireesha, Learned-Miller, Erik, Lee, Seungwon, Littman, Michael L., Madireddy, Sandeep, Mendez, Jorge A., Nguyen, Eric Q., Piatko, Christine, Pilly, Praveen K., Raghavan, Aswin, Rahman, Abrar, Ramakrishnan, Santhosh Kumar, Ratzlaff, Neale, Soltoggio, Andrea, Stone, Peter, Sur, Indranil, Tang, Zhipeng, Tiwari, Saket, Vedder, Kyle, Wang, Felix, Xu, Zifan, Yanguas-Gil, Angel, Yedidsion, Harel, Yu, Shangqun, Vallabha, Gautam K.

“…Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to “real world” events, where the input…”
Get full text

A collective AI via lifelong learning and sharing at the edge by Soltoggio, Andrea, Ben-Iwhiwhu, Eseoghene, Braverman, Vladimir, Eaton, Eric, Epstein, Benjamin, Ge, Yunhao, Halperin, Lucy, How, Jonathan, Itti, Laurent, Jacobs, Michael A., Kantharaju, Pavan, Le, Long, Lee, Steven, Liu, Xinran, Monteiro, Sildomar T., Musliner, David, Nath, Saptarshi, Panda, Priyadarshini, Peridis, Christos, Pirsiavash, Hamed, Parekh, Vishwa, Roy, Kaushik, Shperberg, Shahaf, Siegelmann, Hava T., Stone, Peter, Vedder, Kyle, Wu, Jingfeng, Yang, Lin, Zheng, Guangyao, Kolouri, Soheil

“…One vision of a future artificial intelligence (AI) is where many separate units can learn independently over a lifetime and share their knowledge with each…”
Get full text

Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems by Vedder, Kyle, Eaton, Eric

“…International Conference on Intelligent Robots and Systems (IROS) 2022 Bird's Eye View (BEV) is a popular representation for processing 3D point clouds, and by…”
Get full text

X: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs by Vedder, Kyle, Biswas, Joydeep

“…Artificial Intelligence, Volume 291, 2021 Real-world multi-agent systems such as warehouse robots operate under significant time constraints -- in such…”
Get full text

I Can't Believe It's Not Scene Flow by Khatri, Ishan, Vedder, Kyle, Peri, Neehar, Ramanan, Deva, Hays, James

“…Current scene flow methods broadly fail to describe motion on small objects, and current scene flow evaluation protocols hide this failure by averaging over…”
Get full text

Neural Eulerian Scene Flow Fields by Vedder, Kyle, Peri, Neehar, Khatri, Ishan, Li, Siyi, Eaton, Eric, Kocamaz, Mehmet, Wang, Yue, Yu, Zhiding, Ramanan, Deva, Pehserl, Joachim

“…We reframe scene flow as the task of estimating a continuous space-time ODE that describes motion for an entire observation sequence, represented with a neural…”
Get full text

Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model by Le, Long, Xie, Jason, Liang, William, Wang, Hung-Ju, Yang, Yue, Ma, Yecheng Jason, Vedder, Kyle, Krishna, Arjun, Jayaraman, Dinesh, Eaton, Eric

“…Interactive 3D simulated objects are crucial in AR/VR, animations, and robotics, driving immersive experiences and advanced automation. However, creating these…”
Get full text

ZeroFlow: Scalable Scene Flow via Distillation by Vedder, Kyle, Peri, Neehar, Chodosh, Nathaniel, Khatri, Ishan, Eaton, Eric, Jayaraman, Dinesh, Liu, Yang, Ramanan, Deva, Hays, James

“…Scene flow estimation is the task of describing the 3D motion field between temporally successive point clouds. State-of-the-art methods use strong priors and…”
Get full text

A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems by Baker, Megan M, New, Alexander, Aguilar-Simon, Mario, Al-Halah, Ziad, Arnold, Sébastien M. R, Ben-Iwhiwhu, Ese, Brna, Andrew P, Brooks, Ethan, Brown, Ryan C, Daniels, Zachary, Daram, Anurag, Delattre, Fabien, Dellana, Ryan, Eaton, Eric, Fu, Haotian, Grauman, Kristen, Hostetler, Jesse, Iqbal, Shariq, Kent, Cassandra, Ketz, Nicholas, Kolouri, Soheil, Konidaris, George, Kudithipudi, Dhireesha, Learned-Miller, Erik, Lee, Seungwon, Littman, Michael L, Madireddy, Sandeep, Mendez, Jorge A, Nguyen, Eric Q, Piatko, Christine D, Pilly, Praveen K, Raghavan, Aswin, Rahman, Abrar, Ramakrishnan, Santhosh Kumar, Ratzlaff, Neale, Soltoggio, Andrea, Stone, Peter, Sur, Indranil, Tang, Zhipeng, Tiwari, Saket, Vedder, Kyle, Wang, Felix, Xu, Zifan, Yanguas-Gil, Angel, Yedidsion, Harel, Yu, Shangqun, Vallabha, Gautam K

“…Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input…”
Get full text