Search Results - "Pal, Chris"

Learning normalized inputs for iterative estimation in medical image segmentation by Drozdzal, Michal, Chartrand, Gabriel, Vorontsov, Eugene, Shakeri, Mahsa, Di Jorio, Lisa, Tang, An, Romero, Adriana, Bengio, Yoshua, Pal, Chris, Kadoury, Samuel

“…•Image segmentation pipeline based on Fully Convolutional Networks (FCN) and ResNets is proposed.•FCN can serve as a pre-processor to normalize medical imaging…”
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Activity recognition using the velocity histories of tracked keypoints by Messing, Ross, Pal, Chris, Kautz, Henry

“…We present an activity recognition feature inspired by human psychophysical performance. This feature is based on the velocity history of tracked keypoints. We…”
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Learning Conditional Random Fields for Stereo by Scharstein, D., Pal, C.

“…State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors…”
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A Panoramic View of Yeast Noncoding RNA Processing by Peng, Wen-Tao, Robinson, Mark D., Mnaimneh, Sanie, Krogan, Nevan J., Cagney, Gerard, Morris, Quaid, Davierwala, Armaity P., Grigull, Jörg, Yang, Xueqi, Zhang, Wen, Mitsakakis, Nicholas, Ryan, Owen W., Datta, Nira, Jojic, Vladimir, Pal, Chris, Canadien, Veronica, Richards, Dawn, Beattie, Bryan, Wu, Lani F., Altschuler, Steven J., Roweis, Sam, Frey, Brendan J., Emili, Andrew, Greenblatt, Jack F., Hughes, Timothy R.

“…Predictive analysis using publicly available yeast functional genomics and proteomics data suggests that many more proteins may be involved in biogenesis of…”
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Brain tumor segmentation with Deep Neural Networks by Havaei, Mohammad, Davy, Axel, Warde-Farley, David, Biard, Antoine, Courville, Aaron, Bengio, Yoshua, Pal, Chris, Jodoin, Pierre-Marc, Larochelle, Hugo

“…•A fast and accurate fully automatic method for brain tumor segmentation which is competitive both in terms of accuracy and speed compared to the state of the…”
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Liver lesion segmentation informed by joint liver segmentation by Vorontsov, Eugene, Tang, An, Pal, Chris, Kadoury, Samuel

“…We propose a model for the joint segmentation of the liver and liver lesions in computed tomography (CT) volumes. We build the model from two fully…”
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ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI by Maier, Oskar, Menze, Bjoern H., von der Gablentz, Janina, Häni, Levin, Heinrich, Mattias P., Liebrand, Matthias, Winzeck, Stefan, Basit, Abdul, Bentley, Paul, Chen, Liang, Christiaens, Daan, Dutil, Francis, Egger, Karl, Feng, Chaolu, Glocker, Ben, Götz, Michael, Haeck, Tom, Halme, Hanna-Leena, Havaei, Mohammad, Iftekharuddin, Khan M., Jodoin, Pierre-Marc, Kamnitsas, Konstantinos, Kellner, Elias, Korvenoja, Antti, Larochelle, Hugo, Ledig, Christian, Lee, Jia-Hong, Maes, Frederik, Mahmood, Qaiser, Maier-Hein, Klaus H., McKinley, Richard, Muschelli, John, Pal, Chris, Pei, Linmin, Rangarajan, Janaki Raman, Reza, Syed M.S., Robben, David, Rueckert, Daniel, Salli, Eero, Suetens, Paul, Wang, Ching-Wei, Wilms, Matthias, Kirschke, Jan S., Krämer, Ulrike M., Münte, Thomas F., Schramm, Peter, Wiest, Roland, Handels, Heinz, Reyes, Mauricio

“…•Evaluation framework for automatic stroke lesion segmentation from MRI•Public multi-center, multi-vendor, multi-protocol databases released•Ongoing fair and…”
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Message from the General and Program Chairs

“…Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the…”
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Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering by Jagalur, Manjunatha, Pal, Chris, Learned-Miller, Erik, Zoeller, R Thomas, Kulp, David

“…Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with…”
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CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling by Fortier, Matthew, Richter, Mats L, Sonnentag, Oliver, Pal, Chris

“…Terrestrial carbon fluxes provide vital information about our biosphere's health and its capacity to absorb anthropogenic CO$_2$ emissions. The importance of…”
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LLMs can learn self-restraint through iterative self-reflection by Piché, Alexandre, Milios, Aristides, Bahdanau, Dzmitry, Pal, Chris

“…In order to be deployed safely, Large Language Models (LLMs) must be capable of dynamically adapting their behavior based on their level of knowledge and…”
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Implicit Offline Reinforcement Learning via Supervised Learning by Piche, Alexandre, Pardinas, Rafael, Vazquez, David, Mordatch, Igor, Pal, Chris

“…Offline Reinforcement Learning (RL) via Supervised Learning is a simple and effective way to learn robotic skills from a dataset collected by policies of…”
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Language Models Can Reduce Asymmetry in Information Markets by Rahaman, Nasim, Weiss, Martin, Wüthrich, Manuel, Bengio, Yoshua, Li, Li Erran, Pal, Chris, Schölkopf, Bernhard

“…This work addresses the buyer's inspection paradox for information markets. The paradox is that buyers need to access information to determine its value, while…”
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Learned Image Compression for Machine Perception by Codevilla, Felipe, Simard, Jean Gabriel, Goroshin, Ross, Pal, Chris

“…Recent work has shown that learned image compression strategies can outperform standard hand-crafted compression algorithms that have been developed over…”
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Efficiently registering video into panoramic mosaics by Steedly, D., Pal, C., Szeliski, R.

“…We present an automatic and efficient method to register and stitch thousands of video frames into a large panoramic mosaic. Our method preserves the…”
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Workflow Discovery from Dialogues in the Low Data Regime by Hattami, Amine El, Raimondo, Stefania, Laradji, Issam, Vazquez, David, Rodriguez, Pau, Pal, Chris

“…Text-based dialogues are now widely used to solve real-world problems. In cases where solution strategies are already known, they can sometimes be codified…”
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A General Purpose Neural Architecture for Geospatial Systems by Rahaman, Nasim, Weiss, Martin, Träuble, Frederik, Locatello, Francesco, Lacoste, Alexandre, Bengio, Yoshua, Pal, Chris, Li, Li Erran, Schölkopf, Bernhard

“…Geospatial Information Systems are used by researchers and Humanitarian Assistance and Disaster Response (HADR) practitioners to support a wide variety of…”
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Neural Attentive Circuits by Rahaman, Nasim, Weiss, Martin, Locatello, Francesco, Pal, Chris, Bengio, Yoshua, Schölkopf, Bernhard, Li, Li Erran, Ballas, Nicolas

“…Recent work has seen the development of general purpose neural architectures that can be trained to perform tasks across diverse data modalities. General…”
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Learning Multi-Objective Curricula for Robotic Policy Learning by Kang, Jikun, Liu, Miao, Gupta, Abhinav, Pal, Chris, Liu, Xue, Fu, Jie

“…Various automatic curriculum learning (ACL) methods have been proposed to improve the sample efficiency and final performance of deep reinforcement learning…”
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DuoRAT: Towards Simpler Text-to-SQL Models by Scholak, Torsten, Li, Raymond, Bahdanau, Dzmitry, de Vries, Harm, Pal, Chris

“…Recent neural text-to-SQL models can effectively translate natural language questions to corresponding SQL queries on unseen databases. Working mostly on the…”
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