Search Results - "Weinberger, Kilian Q"

Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving by Wang, Yan, Chao, Wei-Lun, Garg, Divyansh, Hariharan, Bharath, Campbell, Mark, Weinberger, Kilian Q.

“…3D object detection is an essential task in autonomous driving. Recent techniques excel with highly accurate detection rates, provided the 3D input data is…”
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Unsupervised Learning of Image Manifolds by Semidefinite Programming by Weinberger, Kilian Q, Saul, Lawrence K

“…Issue Title: Special Issue: Computer Vision and Pattern Recognition-CVPR 2004 Can we detect low dimensional structure in high dimensional data sets of images?…”
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End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection by Qian, Rui, Garg, Divyansh, Wang, Yan, You, Yurong, Belongie, Serge, Hariharan, Bharath, Campbell, Mark, Weinberger, Kilian Q., Chao, Wei-Lun

“…Reliable and accurate 3D object detection is a necessity for safe autonomous driving. Although LiDAR sensors can provide accurate 3D point cloud estimates of…”
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Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data by Miles, Cole, Bohrdt, Annabelle, Wu, Ruihan, Chiu, Christie, Xu, Muqing, Ji, Geoffrey, Greiner, Markus, Weinberger, Kilian Q., Demler, Eugene, Kim, Eun-Ah

“…Image-like data from quantum systems promises to offer greater insight into the physics of correlated quantum matter. However, the traditional framework of…”
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Leveraging diffusion models for unsupervised out-of-distribution detection on image manifold by Liu, Zhenzhen, Zhou, Jin Peng, Weinberger, Kilian Q

“…Out-of-distribution (OOD) detection is crucial for enhancing the reliability of machine learning models when confronted with data that differ from their…”
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Convolutional Networks with Dense Connectivity by Huang, Gao, Liu, Zhuang, Pleiss, Geoff, Maaten, Laurens van der, Weinberger, Kilian Q.

“…Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections…”
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Optimizing the Detection of Wakeful and Sleep-Like States for Future Electrocorticographic Brain Computer Interface Applications by Pahwa, Mrinal, Kusner, Matthew, Hacker, Carl D, Bundy, David T, Weinberger, Kilian Q, Leuthardt, Eric C

“…Previous studies suggest stable and robust control of a brain-computer interface (BCI) can be achieved using electrocorticography (ECoG). Translation of this…”
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On Feature Normalization and Data Augmentation by Li, Boyi, Wu, Felix, Lim, Ser-Nam, Belongie, Serge, Weinberger, Kilian Q.

“…The moments (a.k.a., mean and standard deviation) of latent features are often removed as noise when training image recognition models, to increase stability…”
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Train in Germany, Test in the USA: Making 3D Object Detectors Generalize by Wang, Yan, Chen, Xiangyu, You, Yurong, Li, Li Erran, Hariharan, Bharath, Campbell, Mark, Weinberger, Kilian Q., Chao, Wei-Lun

“…In the domain of autonomous driving, deep learning has substantially improved the 3D object detection accuracy for LiDAR and stereo camera data alike. While…”
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Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation by Yang, Luyu, Wang, Yan, Gao, Mingfei, Shrivastava, Abhinav, Weinberger, Kilian Q., Chao, Wei-Lun, Lim, Ser-Nam

“…Semi-supervised domain adaptation (SSDA) aims to adapt models trained from a labeled source domain to a different but related target domain, from which…”
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Determining subpopulation methylation profiles from bisulfite sequencing data of heterogeneous samples using DXM by Fong, Jerry, Gardner, Jacob R, Andrews, Jared M, Cashen, Amanda F, Payton, Jacqueline E, Weinberger, Kilian Q, Edwards, John R

“…Abstract Epigenetic changes, such as aberrant DNA methylation, contribute to cancer clonal expansion and disease progression. However, identifying…”
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Wav2Seq: Pre-Training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages by Wu, Felix, Kim, Kwangyoun, Watanabe, Shinji, Han, Kyu J., McDonald, Ryan, Weinberger, Kilian Q., Artzi, Yoav

“…We introduce Wav2Seq, the first self-supervised approach to pre-train both parts of encoder-decoder models for speech data. We induce a pseudo language as a…”
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Performance-Efficiency Trade-Offs in Unsupervised Pre-Training for Speech Recognition by Wu, Felix, Kim, Kwangyoun, Pan, Jing, Han, Kyu J., Weinberger, Kilian Q., Artzi, Yoav

“…This paper is a study of performance-efficiency trade-offs in pre-trained models for automatic speech recognition (ASR). We focus on wav2vec 2.0, and formalize…”
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Fast, Continuous Audiogram Estimation Using Machine Learning by Song, Xinyu D, Wallace, Brittany M, Gardner, Jacob R, Ledbetter, Noah M, Weinberger, Kilian Q, Barbour, Dennis L

“…OBJECTIVES:Pure-tone audiometry has been a staple of hearing assessments for decades. Many different procedures have been proposed for measuring thresholds…”
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Learning to Detect Mobile Objects from LiDAR Scans Without Labels by You, Yurong, Luo, Katie, Phoo, Cheng Perng, Chao, Wei-Lun, Sun, Wen, Hariharan, Bharath, Campbell, Mark, Weinberger, Kilian Q.

“…Current 3D object detectors for autonomous driving are almost entirely trained on human-annotated data. Although of high quality, the generation of such data…”
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LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images by Wang, Brian H., Chao, Wei-Lun, Wang, Yan, Hariharan, Bharath, Weinberger, Kilian Q., Campbell, Mark

“…Object segmentation in three-dimensional (3-D) point clouds is a critical task for robots capable of 3-D perception. Despite the impressive performance of deep…”
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Machine learning discovery of new phases in programmable quantum simulator snapshots by Miles, Cole, Samajdar, Rhine, Ebadi, Sepehr, Wang, Tout T., Pichler, Hannes, Sachdev, Subir, Lukin, Mikhail D., Greiner, Markus, Weinberger, Kilian Q., Kim, Eun-Ah

“…Machine learning has recently emerged as a promising approach for studying complex phenomena characterized by rich datasets. In particular, data-centric…”
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Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions by Diaz-Ruiz, Carlos A., Xia, Youya, You, Yurong, Nino, Jose, Chen, Junan, Monica, Josephine, Chen, Xiangyu, Luo, Katie, Wang, Yan, Emond, Marc, Chao, Wei-Lun, Hariharan, Bharath, Weinberger, Kilian Q., Campbell, Mark

“…Advances in perception for self-driving cars have accelerated in recent years due to the availability of large-scale datasets, typically collected at specific…”
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Densely Connected Convolutional Networks by Huang, Gao, Liu, Zhuang, Van Der Maaten, Laurens, Weinberger, Kilian Q.

“…Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections…”
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CondenseNet: An Efficient DenseNet Using Learned Group Convolutions by Huang, Gao, Liu, Shichen, Maaten, Laurens van der, Weinberger, Kilian Q.

“…Deep neural networks are increasingly used on mobile devices, where computational resources are limited. In this paper we develop CondenseNet, a novel network…”
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