Charless Fowlkes

Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions

Kyungmin Kim, JB Lanier, Pierre Baldi, Charless C. Fowlkes, Roy Fox

RLC, 2025.

CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching

Samia Shafique, Shu Kong, Charless C. Fowlkes

ECCV (63), 217-235, 2024.

Instance Tracking in 3D Scenes from Egocentric Videos

Yunhan Zhao, Haoyu Ma, Shu Kong, Charless C. Fowlkes

CVPR, 21933-21944, 2024.

Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos

Samia Shafique, Bailey Kong, Shu Kong, Charless C. Fowlkes

WACV, 858-868, 2023.

GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding

Yunhan Zhao, Connelly Barnes, Yuqian Zhou, Eli Shechtman, Sohrab Amirghodsi, Charless C. Fowlkes

WACV, 1776-1786, 2023.

Guided Recommendation for Model Fine-Tuning

Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto

CVPR, 3633-3642, 2023.

Abstract CVPR DOI

Your representations are in the network: composable and parallel adaptation for large scale models

Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto

NeurIPS, 2023.

Abstract PDF NeurIPS arXiv

Automated identification of diverse Neotropical pollen samples using convolutional neural networks

Surangi W. Punyasena, Derek S. Haselhorst, Shu Kong, Charless C. Fowlkes, J. Enrique Moreno

Methods in Ecology and Evolution, 13, 2049--2064, 2022.

Geometric Pose Affordance: Monocular 3D Human Pose Estimation with Scene Constraints

Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, Charless C. Fowlkes

ECCV Workshops (6), 3-18, 2022.

High-resolution structure-function mapping of intact hearts reveals altered sympathetic control of infarct border zones

Ching Zhu, Pradeep S. Rajendran, Peter Hanna, Igor R. Efimov, Guy Salama, Charless C. Fowlkes, Kalyanam Shivkumar

JCI Insight, 7, 2022.

SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation

Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes

WACV, 175-184, 2022.

Task Adaptive Parameter Sharing for Multi-Task Learning

Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto

CVPR, 7551-7560, 2022.

The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation

Zhe Wang, Jimei Yang, Charless C. Fowlkes

CVPR Workshops, 2317-2326, 2022.

A linearized framework and a new benchmark for model selection for fine-tuning

Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona

arXiv:2102.00084, 2021. preprint

Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias

Yunhan Zhao, Shu Kong, Charless C. Fowlkes

CVPR, 15759-15768, 2021.

Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning

Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto

CVPR, 194-203, 2021.

Modular Framework for Visuomotor Language Grounding

Kolby Nottingham, Litian Liang, Daeyun Shin, Charless C. Fowlkes, Roy Fox, Sameer Singh

CVPR Workshops, 2021.

Representation Consolidation for Training Expert Students

Zhizhong Li, Avinash Ravichandran, Charless C. Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto

arXiv:2107.08039, 2021. preprint

Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes

Hirak Jyoti Kashyap, Charless C. Fowlkes, Jeffrey L. Krichmar

IEEE Trans. Neural Networks Learn. Syst., 32, 2521-2534, 2021.

Celeganser: Automated Analysis of Nematode Morphology and Age

Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes

CVPR Workshops, 4164-4173, 2020.

Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation

Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes

CVPR, 3327-3337, 2020.

Fine-grained facial expression analysis using dimensional emotion model

Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei

Neurocomputing, 392, 38-49, 2020.

Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy

Ingrid Romero, Shu Kong, Charless C. Fowlkes, Carlos Jaramillo, Michael A. Urban, Francisca E. Oboh‐Ikuenobe, Carlos D’Apolito, Surangi W. Punyasena

Proceedings of the National Academy of Sciences, 117, 28496--28505, 2020.

Multicolor sparse viral labeling and 3D digital tracing of enteric plexus in mouse proximal colon using a novel adeno‐associated virus capsid

Lixin Wang, Collin Challis, Honghui Liang, Songlin Li, Charless C. Fowlkes, Aidan Sullivan, Kumar Sr, Yvette Taché

Neurogastroenterology & Motility, 33, e14014--e14014, 2020.

Predicting Camera Viewpoint Improves Cross-Dataset Generalization for 3D Human Pose Estimation

Zhe Wang, Daeyun Shin, Charless C. Fowlkes

ECCV Workshops (2), 523-540, 2020.

Resisting Large Data Variations via Introspective Transformation Network

Yunhan Zhao, Ye Tian, Charless C. Fowlkes, Wei Shen, Alan L. Yuille

WACV, 3069-3078, 2020.

Weak Supervision and Referring Attention for Temporal-Textual Association Learning

Zhiyuan Fang, Shu Kong, Zhe Wang, Charless C. Fowlkes, Yezhou Yang

arXiv:2006.11747, 2020. preprint

3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers

Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes

ICCV, 2172-2182, 2019.

Abstract PDF ICCV DOI

CeMNet: Self-Supervised Learning for Accurate Continuous Ego-Motion Estimation

Minhaeng Lee, Charless C. Fowlkes

CVPR Workshops, 354-363, 2019.

Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN

Negin Hayatbini, Bailey Kong, Kuolin Hsu, Phu Nguyen, Soroosh Sorooshian, Graeme L. Stephens, Charless C. Fowlkes, Ramakrishna Nemani, Sangram Ganguly

Remote. Sens., 11, 2193, 2019.

Cross-Domain Image Matching with Deep Feature Maps

Bailey Kong, James Steven Supančič, Deva Ramanan, Charless C. Fowlkes

Int. J. Comput. Vis., 127, 1738-1750, 2019.

Identification of peripheral neural circuits that regulate heart rate using optogenetic and viral vector strategies

Pradeep S. Rajendran, Rosemary C. Challis, Charless C. Fowlkes, Peter Hanna, John D. Tompkins, Maria C. Jordan, Sarah Hiyari, Beth A. Gabris-Weber, Alon Greenbaum, Ken Y. Chan, Benjamin E. Deverman, Heike Münzberg, Jeffrey L. Ardell, Guy Salama, Viviana Gradinaru, Kalyanam Shivkumar

Nature Communications, 10, 1944--1944, 2019.

Long-term Monocular Deprivation during Juvenile Critical Period Disrupts Binocular Integration in Mouse Visual Thalamus

Carey Y. L. Huh, Karim Abdelaal, Kirstie J. Salinas, Diyue Gu, Jack Zeitoun, Dario X. Figueroa Velez, John P. Peach, Charless C. Fowlkes, Sunil Gandhi

Journal of Neuroscience, 40, 585--604, 2019.

Modularized Textual Grounding for Counterfactual Resilience

Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang

CVPR, 6378-6388, 2019.

Multi-layer Depth and Epipolar Feature Transformers for 3D Scene Reconstruction

Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes

CVPR Workshops, 39-43, 2019.

Multigrid Predictive Filter Flow for Unsupervised Learning on Videos

arXiv:1904.01693, 2019. preprint

Pixel-Wise Attentional Gating for Scene Parsing

WACV, 1024-1033, 2019.

Quantitative Comparison of the Anterior-Posterior Patterning System in the Embryos of Five Drosophila Species

Zeba Wunderlich, Charless C. Fowlkes, Kelly B. Eckenrode, Meghan D. J. Bragdon, Arash Abiri, Angela H. DePace

G3 Genes Genomes Genetics, 9, 2171--2182, 2019.

Task2Vec: Task Embedding for Meta-Learning

Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona

ICCV, 6429-6438, 2019.

Abstract PDF ICCV arXiv DOI

Weakly-Supervised Action Localization With Background Modeling

Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes

ICCV, 5501-5510, 2019.

Abstract PDF ICCV arXiv DOI

Active Testing: An Efficient and Robust Framework for Estimating Accuracy

Phuc Nguyen, Deva Ramanan, Charless Fowlkes

ICML, 3756-3765, 2018.

Biodiversifying bioinspiration

Rolf Müller, Nicole Abaid, Jonathan B. Boreyko, Charless C. Fowlkes, Ashok K. Goel, Cindy Grimm, Sunghwan Jung, Brook S. Kennedy, Christin T Murphy, Nathan D Cushing, Jin‐Ping Han

Bioinspiration & Biomimetics, 13, 053001--053001, 2018.

Image Reconstruction with Predictive Filter Flow

arXiv:1811.11482, 2018. preprint

Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction

Daeyun Shin, Charless Fowlkes, Derek Hoiem

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3061-3069, 2018.

Recurrent Pixel Embedding for Instance Grouping

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 9018-9028, 2018.

Recurrent Scene Parsing with Perspective Understanding in the Loop

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 956-965, 2018.

Structured Triplet Learning with POS-Tag Guided Attention for Visual Question Answering

Zhe Wang, Xiaoyi Liu, Liangjian Chen, Limin Wang, Yu Qiao, Xiaohui Xie, Charless C. Fowlkes

WACV, 1888-1896, 2018.

Cluster-wise Ratio Tests for Fast Camera Localization

Raúl Díaz, Charless Fowlkes

IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues, 2017.

Cross-Domain Forensic Shoeprint Matching

Bailey Kong, James Steven Supančič, Deva Ramanan, Charless C. Fowlkes

British Machine Vision Conference (BMVC), 2017.

Energy-Based Spherical Sparse Coding

Bailey Kong, Charless C. Fowlkes

arXiv:1710.01820, 2017. preprint

Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions

Shaofei Wang, Charless C. Fowlkes

International Journal of Computer Vision, 122, 484--501, 2017.

Low-rank Bilinear Pooling for Fine-grained Classification

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

Space-Time Localization and Mapping

Minhaeng Lee, Charless C. Fowlkes

IEEE International Conference on Computer Vision, 2017.

Tracking Objects with Higher Order Interactions via Delayed Column Generation

Shaofei Wang, Steffen Wolf, Charless Fowlkes, Julian Yarkony

AISTATS, 1132-1140, 2017.

Intermittent Stem Cell Cycling Balances Self-Renewal and Senescence of the C. elegans Germ Line

Amanda Cinquin, Michael Chiang, Adrian Paz, Sam Hallman, Oliver Yuan, Indre Vysniauskaite, Charless C. Fowlkes, Olivier Cinquin

PLOS Genetics, 12, 2016.

Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation

Golnaz Ghiasi, Charless Fowlkes

ECCV, 2016.

Lifting GIS Maps into Strong Geometric Context for Scene Understanding

Raúl Díaz, Minhaeng Lee, Jochen Schubert, Charless C. Fowlkes

WACV, 2016.

Photo Aesthetics Ranking Network with Attributes and Content Adaptation

Shu Kong, Xiaohui Shen, Zhe Lin, Radomir Mech, Charless Fowlkes

ECCV, 2016.

Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification

Shu Kong, Surangi Punyasena, Charless Fowlkes

CVPR workshop CVMI, 2016.

The Open World of Micro-Videos

Phuc Nguyen, Grégory Rogez, Charless C. Fowlkes, Deva Ramanan

BigVision Workshop, 2016.

Visual Recognition Software for Binary Classification and Its Application to Spruce Pollen Identification

David K. Tcheng, Ashwin K. Nayak, Charless C. Fowlkes, Surangi W. Punyasena

PLOS ONE, 11, 1-19, 2016.

A gene expression atlas of a bicoid-depleted Drosophila embryo reveals early canalization of cell fate

Max V Staller, Charless C Fowlkes, Meghan DJ Bragdon, Zeba Wunderlich, Javier Estrada, Angela H DePace

Development, 142, 587--596, 2015.

Analysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images

Michael Chiang, Sam Hallman, Amanda Cinquin, Nabora Reyes Mochel, Adrian Paz, Shimako Kawauchi, Anne Calof, Ken Cho, Charless Fowlkes, Oliver Cinquin

BMC Bioinformatics, 16:397, 2015.

Do We Need More Training Data?

Xiangxin Zhu, Carl Vondrick, Charless C Fowlkes, Deva Ramanan

International Journal of Computer Vision, 1--17, 2015.

Hierarchical Planar Correlation Clustering for Cell Segmentation

Julian Yarkony, Chong Zhang, Charless C. Fowlkes

Energy Minimization Methods in Computer Vision and Pattern Recognition, 492--504, 2015.

Learning Optimal Parameters for Multi-target Tracking

Shaofei Wang, Charless C. Fowlkes

British Machine Vision Conference (BMVC), 2015.

Oriented Edge Forests for Boundary Detection

Sam Hallman, Charless C. Fowlkes

CVPR, 2015.

Planar Ultrametrics for Image Segmentation

Julian Yarkony, Charless C. Fowlkes

Neural Information Processing Systems (NIPS), 2015.

Abstract PDF NIPS

Using segmentation to predict the absence of occluded parts

Golnaz Ghiasi, Charless C. Fowlkes

British Machine Vision Conference (BMVC), 2015.

Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping

Jennifer B Treweek, Ken Y Chan, Nicholas C Flytzanis, Bin Yang, Benjamin E Deverman, Alon Greenbaum, Antti Lignell, Cheng Xiao, Long Cai, Mark S Ladinsky, Pamela J Bjorkman, Charless C Fowlkes, Viviana Gradinaru

Nature Protocols, 10, 1860--1896, 2015.

Fast Convolutional Sparse Coding (FCSC)

Bailey Kong, Charless C. Fowlkes

UC Irvine, 2014.

Learning Multi-target Tracking with Quadratic Object Interactions

Shaofei Wang, Charless C. Fowlkes

arXiv:1412.2066, 2014. preprint

Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model

Golnaz Ghiasi, Charless Fowlkes

CVPR, 2014.

Accurate Motion Deblurring using Camera Motion Tracking and Scene Depth

Parsing Occluded People

Golnaz Ghiasi, Yi Yang, Deva Ramanan, Charless Fowlkes

CVPR, 2014.

Abstract PDF CVPR DOI

Hyeoungho Bae, Charless Fowlkes, Pai H Chou

IEEE Workshop on Applications of Computer Vision (WACV), 2013.

Detecting Dynamic Objects with Multi-View Background Subtraction

Raúl Díaz, Sam Hallman, Charless C. Fowlkes

ICCV, 2013.

Do we need more training data or better models for object detection?

Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless C. Fowlkes

British Machine Vision Conference (BMVC), 2012.

Fast Planar Correlation Clustering for Image Segmentation

Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes

ECCV (6), 568-581, 2012.

Feed-forward hierarchical model of the ventral visual stream applied to functional brain image classification

David B Keator, James H Fallon, Anita Lakatos, Charless Fowlkes, Steven G Potkin, Alexander Ihler

Human Brain Mapping, 2012.

Patch Mosaic for Fast Motion Deblurring

Hyeoungho Bae, Charless Fowlkes, Pai H Chou

Asian Conference on Computer Vision (ACCV), 2012.

Quantitative Analysis of Axonal Transport by Using Compartmentalized and Surface Micropatterned Culture of Neurons

Hyung Joon Kim, Jeong Won Park, Jae Hwan Byun, Wayne W Poon, Carl W Cotman, Charless C Fowlkes, Noo Li Jeon

ACS Chemical Neuroscience, 3, 433--438, 2012.

A Conserved Developmental Patterning Network Produces Quantitatively Different Output in Multiple Species of Drosophila

Charless Fowlkes, Kelly Eckenrode, Meghan Bragdon, Miriah Meyer, Zeba Wunderlich, Lisa Simirenko, Cris Luengo Hendriks, Soile Keränen, Clara Henriquez, David Knowles, Mark Biggin, Michael Eisen, Angela DePace

PLoS Genetics, 7, e1002346, 2011.

Analysis of Gap Gene Regulation in a 3D Organism-Scale Model of the Drosophila melanogaster Embryo

James Hengenius, Michael Gribskov, Ann Rundell, Charless Fowlkes, David Umulis

PLoS ONE, 6, e26797, 2011.

Contour Detection and Hierarchical Image Segmentation

Pablo Arbelaez, Michael Maire, Charless Fowlkes, Jitendra Malik

IEEE PAMI, 33(5), 2011.

Discriminative models for multi-class object layout

Chaitanya Desai, Deva Ramanan, Charless Fowlkes

International Journal of Computer Vision, 2011.

Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects

Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes

IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2011.

Integrating Local Classifiers through Nonlinear Dynamics on Label Graphs with an Application to Image Segmentation

Yutian Chen, Andrew Gelfand, Charless Fowlkes, Max Welling

Proc. of the International Conference on Computer Vision, 2011.

Layered Object Models for Image Segmentation

Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlkes

IEEE TPAMI, 2011.

Multi-scale Biomimetic Topography for the Alignment of Neonatal and Embryonic Stem Cell-derived Heart Cells

Jesus Luna, Jesus Ciriza, Marcos Ojeda-Garcia, Marco Kong, Anthony Herren, Deborah Lieu, Ronald Li, Charless Fowlkes, Michelle Khine, Kara McCloskey

Tissue Engineering: Part C, 17(5), 2011.

Planar Cycle Covering Graphs

Julian Yarkony, Alex Ihler, Charless Fowlkes

UAI, 2011.

Shape-based Pedestrian Parsing

Yihang Bo, Charless Fowlkes

CVPR, 2011.

Shrink-Film Configurable Multiscale Wrinkles for Functional Alignment of Human Embryonic Stem Cells and their Cardiac Derivatives

Aaron Chen, Deborah Lieu, Lauren Freshauf, Valerie Lew, Himanshu Sharma, Jianxian Wang, Diep Nguyen, Ioannis Karakikes, Roger Hajjar, Ajay Gopinathan, Elliot Botvinick, Charless Fowlkes, Ronald Li, Michelle Khine

Advanced Materials, 23, 5785-5791, 2011.

Tightening MRF Relaxations with Planar Subproblems

Julian Yarkony, Ragib Morshed, Alex Ihler, Charless Fowlkes

UAI, 2011.

Covering Trees and Lower-bounds on Quadratic Assignment

Julian Yarkony, Charless Fowlkes, Alex Ihler

CVPR, 2010.

Discriminative models for static human-object interactions

Chaitanya Desai, Deva Ramanan, Charless Fowlkes

IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Structured Prediction, 2010.

Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data

Oliver Rübel, Gunther H. Weber, Min-Yu Huang, E. Wes Bethel, Mark Biggin, Charless C. Fowlkes, Cris L. Luengo Hendriks, Soile V. E. Keränen, Michael Eisen, David W. Knowles, Jitendra Malik, Hans Hagen, Bernd Hamann

IEEE Transactions on Computational Biology and Bioinformatics, 7(1), 64-79, 2010.

Layered Object Detection for Multi-Class Segmentation

Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlkes

CVPR, 2010.

Multiresolution models for object detection

Dennis Park, Deva Ramanan, Charless Fowlkes

ECCV, 2010.

Natural-scene statistics predict how the figure-ground cue of convexity affects human depth perception

Johannes Burge, Charless C. Fowlkes, Martin S. Banks

Journal of Neuroscience, 30(21), 7269-7280, 2010.

Nonparametric identification of regulatory interactions from spatial and temporal gene expression data

Anil Aswani, Soile Keränen, James Brown, Charless C. Fowlkes, David W. Knowles, Mark D. Biggin, Peter Bickel, Claire J. Tomlin

BMC Bioinformatics, 11:413, 2010.

Bilinear classifiers for visual recognition

Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes

Neural Info. Proc. Systems (NIPS), 2009.

Abstract PDF NIPS

Discriminative models for multi-class object layout

Chaitanya Desai, Deva Ramanan, Charless Fowlkes

IEEE International Conference on Computer Vision, 2009.

From Contours to Regions: An Empirical Evaluation

Pablo Arbelaez, Michael Maire, Charless C. Fowlkes, Jitendra Malik

CVPR, 2009.

Visual Exploration of Three-dimensional Gene Expression Using Physical Views and Linked Abstract Views

Gunther H. Weber, Oliber Rubel, Min-Yu Huang, Angela H. DePace, Charless C. Fowlkes, Soile V. E. Keranen, Cris L. Luengo Hendriks, Hans Hagen, David W. Knowles, Jitendra Malik, Mark D. Biggin, Bernd Hamann

IEEE Transactions on Computational Biology and Bioinformatics, 6(2), 296-309, 2009.

A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosophila Blastoderm

Charless Fowlkes, Cris Luengo Hendriks, Soile Keränen, Gunther Weber, Oliver Rübel, Min-Yu Huang, Sohail Chatoor, Lisa Simirenko, Angela DePace, Clara Henriquez, Amy Beaton, Richard Weiszmann, Susan Celniker, Bernd Hamann, David Knowles, Mark Biggin, Michael Eisen, Jitendra Malik

Cell, 133, 364-374, 2008.

Learning Probabilistic Models for Contour Completion.

Xiaofeng Ren, Charless Fowlkes, Jitendra Malik

IJCV, 77, 47-63, 2008.

Using Contours to Detect and Localize Junctions in Natural Images

Michael Maire, Pablo Arbelaez, Charless C. Fowlkes, Jitendra Malik

CVPR, 2008.

Local figure-ground cues are valid for natural images

Charless C. Fowlkes, David R. Martin, Jitendra Malik

Journal of Vision, 7, 1--9, 2007.

3D Morphology and Gene Expression in the Drosophila Blastoderm at Cellular Resolution I: Data Acquisition Pipeline

Cris Luengo Hendriks, Soile Keränen, Charless Fowlkes, Lisa Simirenko, Gunther Weber, Clara Henriquez, David Kaszuba, Bernd Hamann, Michael Eisen, Jitendra Malik, Damir Sudar, Mark Biggin, David Knowles

Genome Biology, 7:R123, 2006.

3D Morphology and Gene Expression in the Drosophila Blastoderm at Cellular Resolution II: Dynamics

Soile Keränen, Charless Fowlkes, Cris Luengo Hendriks, Damir Sudar, David Knowles, Jitendra Malik, Mark Biggin

Genome Biology, 7:R124, 2006.

Figure/Ground Assignment in Natural Images

Xiaofeng Ren, Charless C. Fowlkes, Jitendra Malik

ECCV, II: 614-627, 2006.

Inferring nuclear movements from fixed material

Charless C. Fowlkes, Jitendra Malik

UC Berkeley, 2006.

PointCloudXplore: Visual Analysis of 3D Gene Expression Data Using Physical Views and Parallel Coordinates

O. Rubel, G.H. Weber, S.V.E. Keranen, Charless C. Fowlkes, C.L. Luengo Hendriks, L. Simirenko, N.Y. Shah, M.B. Eisen, M.D. Biggin, H. Hagen, D. Sudar, J. Malik, D.W. Knowles, B. Hamann

Eurographics/IEEE VGTC Symposium on Visualization, 203--210, 2006.