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2020 – today
- 2022
[c50]Michele Covell, David Marwood, Shumeet Baluja:
Adding Non-Linear Context to Deep Networks. ICIP 2022: 671-675- 2021
- [j8]A. Murat Tekalp
, Michele Covell, Radu Timofte, Chao Dong:
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression. IEEE J. Sel. Top. Signal Process. 15(2): 157-161 (2021) - [c49]Shumeet Baluja, David Marwood, Michele Covell:
Interpretable Actions: Controlling Experts with Understandable Commands. AAAI 2021: 4912-4922 - [i11]A. Murat Tekalp, Michele Covell, Radu Timofte, Chao Dong:
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression. CoRR abs/2102.06531 (2021) - 2020
- [c48]Ayush Patwari, Nicholas Kong, Jun Wang, Ullas Gargi, Michele Covell, Aren Jansen:
Semantically Meaningful Attributes from Co-Listen Embeddings for Playlist Exploration and Expansion. ISMIR 2020: 527-533
2010 – 2019
- 2019
- [c47]Shumeet Baluja, David Marwood, Nick Johnston, Michele Covell:
Learning to Render Better Image Previews. ICIP 2019: 1700-1704 - [i10]Michele Covell, David Marwood, Shumeet Baluja, Nick Johnston:
Table-Based Neural Units: Fully Quantizing Networks for Multiply-Free Inference. CoRR abs/1906.04798 (2019) - 2018
- [c46]Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici:
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CVPR 2018: 4385-4393 - [c45]David Marwood, Pascal Massimino, Michele Covell, Shumeet Baluja:
Representing Images in 200 Bytes: Compression via Triangulation. ICIP 2018: 405-409 - [c44]David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell:
Image-Dependent Local Entropy Models for Learned Image Compression. ICIP 2018: 430-434 - [i9]David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh:
Spatially adaptive image compression using a tiled deep network. CoRR abs/1802.02629 (2018) - [i8]David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell:
Image-Dependent Local Entropy Models for Learned Image Compression. CoRR abs/1805.12295 (2018) - [i7]David Marwood, Pascal Massimino, Michele Covell, Shumeet Baluja:
Representing Images in 200 Bytes: Compression via Triangulation. CoRR abs/1809.02257 (2018) - [i6]Shumeet Baluja, David Marwood, Michele Covell, Nick Johnston:
No Multiplication? No Floating Point? No Problem! Training Networks for Efficient Inference. CoRR abs/1809.09244 (2018) - [i5]Shumeet Baluja, David Marwood, Nick Johnston, Michele Covell:
Neural Image Decompression: Learning to Render Better Image Previews. CoRR abs/1812.02831 (2018) - 2017
- [c43]George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell:
Full Resolution Image Compression with Recurrent Neural Networks. CVPR 2017: 5435-5443 - [c42]David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh:
Spatially adaptive image compression using a tiled deep network. ICIP 2017: 2796-2800 - [i4]Shumeet Baluja, Michele Covell, Rahul Sukthankar:
Traffic Lights with Auction-Based Controllers: Algorithms and Real-World Data. CoRR abs/1702.01205 (2017) - [i3]Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici:
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CoRR abs/1703.10114 (2017) - [i2]Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici:
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks. CoRR abs/1705.06687 (2017) - 2016
- [c41]Rahul Sukthankar, Michele Covell, Shumeet Baluja:
Physical and virtual cell phone sensors for traffic control: Algorithms and deployment impact. SAS 2016: 1-6 - [c40]Michele Covell, Martín Arjovsky, Yao-Chung Lin, Anil C. Kokaram:
Optimizing Transcoder Quality Targets Using a Neural Network with an Embedded Bitrate Model. Visual Information Processing and Communication 2016: 1-7 - [c39]George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar:
Variable Rate Image Compression with Recurrent Neural Networks. ICLR (Poster) 2016 - [i1]George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell:
Full Resolution Image Compression with Recurrent Neural Networks. CoRR abs/1608.05148 (2016) - 2015
- [c38]Shumeet Baluja, Michele Covell, Rahul Sukthankar:
The Virtues of Peer Pressure: A Simple Method for Discovering High-Value Mistakes. CAIP (2) 2015: 96-108 - [c37]Michele Covell, Shumeet Baluja, Rahul Sukthankar:
Micro-Auction-Based Traffic-Light Control: Responsive, Local Decision Making. ITSC 2015: 558-565 - [c36]Shumeet Baluja, Michele Covell, Rahul Sukthankar:
Approximating the Effects of Installed Traffic Lights: A Behaviorist Approach Based on Travel Tracks. ITSC 2015: 2205-2212 - 2013
- [j7]Yushi Jing, Michele Covell, David Tsai, James M. Rehg:
Learning Query-Specific Distance Functions for Large-Scale Web Image Search. IEEE Trans. Multim. 15(8): 2022-2034 (2013) - [c35]Shumeet Baluja, Michele Covell:
Point representation for local optimization. IEEE Congress on Evolutionary Computation 2013: 884-891 - [c34]Shumeet Baluja, Michele Covell:
Neighborhood Preserving Codes for Assigning Point Labels: Applications to Stochastic Search. ICCS 2013: 956-965 - 2012
- [c33]Yushi Jing, Henry A. Rowley, Jingbin Wang, David Tsai, Chuck Rosenberg, Michele Covell:
Google image swirl: a large-scale content-based image visualization system. WWW (Companion Volume) 2012: 539-540 - 2011
- [c32]Rohan Seth, Michele Covell, Deepak Ravichandran, D. Sivakumar, Shumeet Baluja:
A Tale of Two (Similar) Cities - Inferring City Similarity through Geo-spatial Query Log Analysis. KDIR 2011: 179-189 - 2010
- [c31]Jing-Yu Cui, Saurabh Mathur, Michele Covell, Vivek Kwatra, Mei Han:
Example-based image compression. ICIP 2010: 1229-1232 - [c30]Yushi Jing, Henry A. Rowley, Charles R. Rosenberg, Jingbin Wang, Ming Zhao, Michele Covell:
Google image swirl, a large-scale content-based image browsing system. ICME 2010: 267 - [c29]Yushi Jing, Michele Covell, Henry A. Rowley:
Comparison of clustering approaches for summarizing large populations of images. ICME 2010: 1523-1527 - [c28]Shumeet Baluja, Michele Covell:
Beyond "Near Duplicates": Learning Hash Codes for Efficient Similar-Image Retrieval. ICPR 2010: 543-547
2000 – 2009
- 2009
- [c27]Michele Covell, Shumeet Baluja:
LSH banding for large-scale retrieval with memory and recall constraints. ICASSP 2009: 1865-1868 - [c26]Shumeet Baluja, Michele Covell:
Finding Images and Line-Drawings in Document-Scanning Systems. ICDAR 2009: 1096-1100 - [p1]Michael Fink, Michele Covell, Shumeet Baluja:
Mass Personalization: Social and Interactive Applications Using Sound-Track Identification. Handbook of Multimedia for Digital Entertainment and Arts 2009: 745-764 - 2008
- [j6]Shumeet Baluja, Michele Covell:
Learning to hash: forgiving hash functions and applications. Data Min. Knowl. Discov. 17(3): 402-430 (2008) - [j5]Michael Fink, Michele Covell, Shumeet Baluja:
Mass personalization: social and interactive applications using sound-track identification. Multim. Tools Appl. 36(1-2): 115-132 (2008) - [j4]Shumeet Baluja, Michele Covell:
Waveprint: Efficient wavelet-based audio fingerprinting. Pattern Recognit. 41(11): 3467-3480 (2008) - [c25]Shumeet Baluja, Michele Covell, Sergey Ioffe:
Permutation grouping: intelligent Hash function design for audio & image retrieval. ICASSP 2008: 2137-2140 - [r1]Shumeet Baluja, Michele Covell, Michael Fink:
Coordinated Multi-Device Presentations: Ambient-Audio Identification. Encyclopedia of Wireless and Mobile Communications 2008 - 2007
- [c24]Shumeet Baluja, Michele Covell:
Audio Fingerprinting: Combining Computer Vision & Data Stream Processing. ICASSP (2) 2007: 213-216 - [c23]Michele Covell, Shumeet Baluja:
Known-Audio Detection using Waveprint: Spectrogram Fingerprinting by Wavelet Hashing. ICASSP (1) 2007: 237-240 - [c22]Shumeet Baluja, Michele Covell:
Learning "Forgiving" Hash Functions: Algorithms and Large Scale Tests. IJCAI 2007: 2663-2669 - 2006
- [j3]Michele Covell, Shumeet Baluja, Michael Fink:
Detecting Ads in Video Streams Using Acoustic and Visual Cues. Computer 39(12): 135-137 (2006) - [c21]Beomjoo Seo, Michele Covell, Mirjana Spasojevic, Sumit Roy, Roger Zimmermann, Leonidas I. Kontothanassis, Nina Bhatti:
Evaluating Server Capacity for Streaming Media Services. ICEIS (Selected Papers) 2006: 112-131 - [c20]Beomjoo Seo, Michele Covell, Mirjana Spasojevic, Sumit Roy, Roger Zimmermann, Leonidas I. Kontothanassis, Nina Bhatti:
Reliable Performance Data Collection for Streaming Media Services. ICEIS (1) 2006: 124-129 - [c19]Michele Covell, Sumit Roy, Bo Shen, Frederic Huve:
Time Scale Modification for 3G-Telephony Video. MMSP 2006: 150-154 - [c18]Michele Covell, Shumeet Baluja, Michael Fink:
Advertisement Detection and Replacement using Acoustic and Visual Repetition. MMSP 2006: 461-466 - 2005
- [j2]Michele Covell, Sumit Roy, Beomjoo Seo:
Predictive modeling of streaming servers. SIGMETRICS Perform. Evaluation Rev. 33(2): 33-35 (2005) - [c17]Magnus Karlsson, Michele Covell:
Dynamic Black-Box Performance Model Estimation for Self-Tuning Regulators. ICAC 2005: 172-182 - 2003
- [c16]Sumit Roy, Michele Covell, John Ankcorn, Susie J. Wee, Takeshi Yoshimura:
A System Architecture for Managing Mobile Streaming Media Service. ICDCS Workshops 2003: 408-413 - [c15]Michael Harville, Michele Covell, Susie J. Wee:
An architecture for componentized, network-based media services. ICME 2003: 333-336 - 2002
- [c14]Michele Covell, Subutai Ahmad:
Analysis-by-synthesis dissolve detection. ICIP (2) 2002: 425-428 - 2001
- [j1]Trevor Darrell, Michele Covell:
Correspondence with Cumulative Similiarity Transforms. IEEE Trans. Pattern Anal. Mach. Intell. 23(2): 222-227 (2001) - [c13]Michele Covell, Malcolm Slaney, Art Rothstein:
FastMPEG: time-scale modification of bit-compressed audio information. ICASSP 2001: 3261-3264 - 2000
- [c12]Michele Covell, Ali Rahimi, Michael Harville, Trevor Darrell:
Articulated-Pose Estimation Using Brightness and Depth-Constancy Constraints. CVPR 2000: 2438-2445 - [c11]Malcolm Slaney, Michele Covell:
FaceSync: A Linear Operator for Measuring Synchronization of Video Facial Images and Audio Tracks. NIPS 2000: 814-820
1990 – 1999
- 1999
- [c10]Michele Covell, Trevor Darrell:
Dynamic Occluding Contours: A New External-Energy Term for Snakes. CVPR 1999: 2232-2238 - 1998
- [c9]Michele Covell, Margaret Withgott, Malcolm Slaney:
MACH1: nonuniform time-scale modification of speech. ICASSP 1998: 349-352 - 1997
- [c8]Christoph Bregler, Michele Covell, Malcolm Slaney:
Video rewrite: visual speech synthesis from video. AVSP 1997: 153-156 - [c7]Christoph Bregler, Michele Covell, Malcolm Slaney:
Video Rewrite: driving visual speech with audio. SIGGRAPH 1997: 353-360 - 1996
- [c6]Michele Covell:
Eigen-points: Control-point Location using Principle Component Analyses. FG 1996: 122-127 - [c5]Malcolm Slaney, Michele Covell, Bud Lassiter:
Automatic audio morphing. ICASSP 1996: 1001-1004 - [c4]Michele Covell, Christoph Bregler:
Eigen-points [image matching]. ICIP (3) 1996: 471-474 - 1994
- [c3]Michele Covell, Margaret Withgott:
Spanning the gap between motion estimation and morphing. ICASSP (5) 1994: 213-216 - 1991
- [c2]Michele Covell, John Richardson:
A new, efficient structure for the short-time Fourier transform, with an application in code-division sonar imaging. ICASSP 1991: 2041-2044 - 1990
- [c1]Michele Covell:
An algorithm design environment for signal processing. ICASSP 1990: 1779-1782
Coauthor Index
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