Search Results - "Honglak Lee"

Learning Deep Representations of Fine-Grained Visual Descriptions by Reed, Scott, Akata, Zeynep, Honglak Lee, Schiele, Bernt

“…State-of-the-art methods for zero-shot visual recognition formulate learning as a joint embedding problem of images and side information. In these formulations…”
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Deep learning for detecting robotic grasps by Lenz, Ian, Lee, Honglak, Saxena, Ashutosh

“…We consider the problem of detecting robotic grasps in an RGB-D view of a scene containing objects. In this work, we apply a deep learning approach to solve…”
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Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis by Hong, Seunghoon, Yang, Dingdong, Choi, Jongwook, Lee, Honglak

“…We propose a novel hierarchical approach for text-to-image synthesis by inferring semantic layout. Instead of learning a direct mapping from text to image, our…”
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Evaluation of output embeddings for fine-grained image classification by Akata, Zeynep, Reed, Scott, Walter, Daniel, Honglak Lee, Schiele, Bernt

“…Image classification has advanced significantly in recent years with the availability of large-scale image sets. However, fine-grained classification remains a…”
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Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network by Seunghoon Hong, Junhyuk Oh, Honglak Lee, Bohyung Han

“…We propose a novel weakly-supervised semantic segmentation algorithm based on Deep Convolutional Neural Network (DCNN). Contrary to existing weakly-supervised…”
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Object Contour Detection with a Fully Convolutional Encoder-Decoder Network by Jimei Yang, Price, Brian, Cohen, Scott, Honglak Lee, Ming-Hsuan Yang

“…We develop a deep learning algorithm for contour detection with a fully convolutional encoder-decoder network. Different from previous low-level edge…”
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Deep learning for robust feature generation in audiovisual emotion recognition by Yelin Kim, Honglak Lee, Provost, Emily Mower

“…Automatic emotion recognition systems predict high-level affective content from low-level human-centered signal cues. These systems have seen great…”
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Learning hierarchical representations for face verification with convolutional deep belief networks by Huang, G. B., Honglak Lee, Learned-Miller, E.

“…Most modern face recognition systems rely on a feature representation given by a hand-crafted image descriptor, such as Local Binary Patterns (LBP), and…”
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Weakly Supervised Semantic Segmentation Using Web-Crawled Videos by Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han

“…We propose a novel algorithm for weakly supervised semantic segmentation based on image-level class labels only. In weakly supervised setting, it is commonly…”
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Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders by Jang, Jongseong, Kyung, Daeun, Kim, Seung Hwan, Lee, Honglak, Bae, Kyunghoon, Choi, Edward

“…Deep neural networks are increasingly used in medical imaging for tasks such as pathological classification, but they face challenges due to the scarcity of…”
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Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling by Kae, Andrew, Kihyuk Sohn, Honglak Lee, Learned-Miller, Erik

“…Conditional random fields (CRFs) provide powerful tools for building models to label image segments. They are particularly well-suited to modeling local…”
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Hierarchical Novelty Detection for Visual Object Recognition by Lee, Kibok, Lee, Kimin, Min, Kyle, Zhang, Yuting, Shin, Jinwoo, Lee, Honglak

“…Deep neural networks have achieved impressive success in large-scale visual object recognition tasks with a predefined set of classes. However, recognizing…”
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Attention-based solubility prediction of polysulfide and electrolyte analysis for lithium–sulfur batteries by Lee, Jaewan, Yang, Hongjun, Park, Changyoung, Park, Seong-Hyo, Jang, Eunji, Kwack, Hobeom, Lee, Chang Hoon, Song, Chang-ik, Choi, Young Cheol, Han, Sehui, Lee, Honglak

“…During the continuous charge and discharge process in lithium-sulfur batteries, one of the next-generation batteries, polysulfides are generated in the…”
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Discriminative Bimodal Networks for Visual Localization and Detection with Natural Language Queries by Yuting Zhang, Luyao Yuan, Yijie Guo, Zhiyuan He, I-An Huang, Honglak Lee

“…Associating image regions with text queries has been recently explored as a new way to bridge visual and linguistic representations. A few pioneering…”
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Efficient learning of sparse, distributed, convolutional feature representations for object recognition by Kihyuk Sohn, Dae Yon Jung, Honglak Lee, Hero, A. O.

“…Informative image representations are important in achieving state-of-the-art performance in object recognition tasks. Among feature learning algorithms that…”
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Weakly Supervised Learning of Mid-Level Features with Beta-Bernoulli Process Restricted Boltzmann Machines by Mittelman, Roni, Honglak Lee, Kuipers, Benjamin, Savarese, Silvio

“…The use of semantic attributes in computer vision problems has been gaining increased popularity in recent years. Attributes provide an intermediate feature…”
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A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image by Delage, E., Honglak Lee, Ng, A.Y.

“…When we look at a picture, our prior knowledge about the world allows us to resolve some of the ambiguities that are inherent to monocular vision, and thereby…”
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An efficient branch-and-bound algorithm for optimal human pose estimation by Min Sun, Telaprolu, M., Honglak Lee, Savarese, S.

“…Human pose estimation in a static image is a challenging problem in computer vision in that body part configurations are often subject to severe deformations…”
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A unified framework for automatic wound segmentation and analysis with deep convolutional neural networks by Changhan Wang, Xinchen Yan, Smith, Max, Kochhar, Kanika, Rubin, Marcie, Warren, Stephen M., Wrobel, James, Honglak Lee

“…Wound surface area changes over multiple weeks are highly predictive of the wound healing process. Furthermore, the quality and quantity of the tissue in the…”
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Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations by Xinchen Yan, Hsu, Jasmined, Khansari, Mohammad, Yunfei Bai, Pathak, Arkanath, Gupta, Abhinav, Davidson, James, Honglak Lee

“…This paper focuses on the problem of learning 6- DOF grasping with a parallel jaw gripper in simulation. Our key idea is constraining and regularizing grasping…”
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