Papers
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson, Bharath Hariharan, Laurens van der Maaten et al.
Click Here: Human-Localized Keypoints as Guidance for Viewpoint Estimation
Ryan Szeto, Jason J. Corso
Clipper: A Low-Latency Online Prediction Serving System
Daniel Crankshaw, Xin Wang, Guilio Zhou et al.
CLKN: Cascaded Lucas-Kanade Networks for Image Alignment
Che-Han Chang, Chun-Nan Chou, Edward Y. Chang
ClockWork-RNN Based Architectures for Slot Filling
Despoina Georgiadou, Vassilios Diakoloukas, Vassilios Tsiaras et al.
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling
Andrei-Cristian Barbos, Francois Caron, Jean-François Giovannelli et al.
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation
Sebastijan Dumancic, Hendrik Blockeel
Clustering Billions of Reads for DNA Data Storage
Cyrus Rashtchian, Konstantin Makarychev, Miklos Racz et al.
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
Ashkan Panahi, Devdatt Dubhashi, Fredrik D. Johansson et al.
Clustering from General Pairwise Observations with Applications to Time-varying Graphs
Shiau Hong Lim, Yudong Chen, Huan Xu
Clustering from Multiple Uncertain Experts
Yale Chang, Junxiang Chen, Michael Cho et al.
Clustering High Dimensional Dynamic Data Streams
Vladimir Braverman, Gereon Frahling, Harry Lang et al.
Clustering Stable Instances of Euclidean k-means.
Aravindan Vijayaraghavan, Abhratanu Dutta, Alex Wang
Clustering with Hidden Markov Model on Variable Blocks
Lin Lin, Jia Li
Clustering with Noisy Queries
Arya Mazumdar, Barna Saha
CNN-Based Joint Mapping of Short and Long Utterance i-Vectors for Speaker Verification Using Short Utterances
Jinxi Guo, Usha Amrutha Nookala, Abeer Alwan
CNN-Based Patch Matching for Optical Flow With Thresholded Hinge Embedding Loss
Christian Bailer, Kiran Varanasi, Didier Stricker
CNN-SLAM: Real-Time Dense Monocular SLAM With Learned Depth Prediction
Keisuke Tateno, Federico Tombari, Iro Laina et al.
Coarse-to-Fine Lifted MAP Inference in Computer Vision
Haroun Habeeb, Ankit Anand, Mausam et al.
Coarse-to-Fine Question Answering for Long Documents
Eunsol Choi, Daniel Hewlett, Jakob Uszkoreit et al.
Coarse-To-Fine Segmentation With Shape-Tailored Continuum Scale Spaces
Naeemullah Khan, Byung-Woo Hong, Anthony Yezzi et al.
Coarse-To-Fine Volumetric Prediction for Single-Image 3D Human Pose
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis et al.
COBRA: A Fast and Simple Method for Active Clustering with Pairwise Constraints
Toon Van Craenendonck, Sebastijan Dumancic, Hendrik Blockeel
Co-clustering through Optimal Transport
Charlotte Laclau, Ievgen Redko, Basarab Matei et al.