14/06/2020
Two Causal Principles for Improving Visual Dialog
Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang
Keywords Paper
visual dialog, vision and language, causality
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1:01
14/06/2020
Image Search With Text Feedback by Visiolinguistic Attention Learning
Yanbei Chen, Shaogang Gong, Loris Bazzani
Keywords Paper
vision and language, image search, text feedback, attention mechanism, transformer, multimodal learning, representation learning, composition, image retrieval, interactive image search
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1:00
14/06/2020
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
Sravanti Addepalli, Vivek B.S., Arya Baburaj and
Keywords Paper
adversarial robustness, adversarial defense, adversarial training, fast adversarial training, adversary-free training, adversarial attacks, efficient adversarial training, generalization, feature consistency, deep neural networks
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1:01
14/06/2020
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
Hui Tang, Ke Chen, Kui Jia
Keywords Paper
unsupervised domain adaptation, image classification, structural domain similarity, intrinsic target discrimination, uncovering strategy, discriminative target clustering, structural source regularization
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4:57
14/06/2020
Sequential Motif Profiles and Topological Plots for Offline Signature Verification
Elias N. Zois, Evangelos Zervas, Dimitrios Tsourounis, George Economou
Keywords Paper
signature verification, handwriting recognition, biometrics, visibility graphs, feature extraction, machine learning, image coding, measurement
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1:00
14/06/2020
TESA: Tensor Element Self-Attention via Matricization
Francesca Babiloni, Ioannis Marras, Gregory Slabaugh, Stefanos Zafeiriou
Keywords Paper
nonlocal neural network, self-attention, matricization, computational photograpy, representation learning, inpainting, image classification, instance segmentation, short-exposure-raw to long-exposure-rgb
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1:00
14/06/2020
Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences
Xiaoshui Huang, Guofeng Mei, Jian Zhang
Keywords Paper
point cloud, registration, semi-supervised, unsupervised, deep learning, correspondence, feature-metric, cross source
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1:05
14/06/2020
A Quantum Computational Approach to Correspondence Problems on Point Sets
Vladislav Golyanik, Christian Theobalt
Keywords Paper
quantum approach (qa), quantum annealing, quadratic unconstrained binary optimisation problem, point set alignment, transformation estimation, quantum state preparation, quantum computing primer, unembedding, spectral gap analysis, d-wave 2000q.
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1:00
14/06/2020
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner
Carolin Schmitt, Simon Donné, Gernot Riegler and
Keywords Paper
3d reconstruction, mobile lightstage, mulitview photometric stereo, svbrdf estimation, shape from shading, material segmentation, handheld 3d sensor, non-lambertian surfaces
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1:01
14/06/2020
Affinity Graph Supervision for Visual Recognition
Chu Wang, Babak Samari, Vladimir G. Kim and
Keywords Paper
graph structure learning, graph convolutional neural networks, attention networks, loss function design, interpretable learning, representation learning, relationship learning, scene categorization, neural network training
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1:01
14/06/2020
A Spatial RNN Codec for End-to-End Image Compression
Chaoyi Lin, Jiabao Yao, Fangdong Chen, Li Wang
Keywords Paper
image compression, spatial rnn, adaptive quantization, lstm
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1:01
14/06/2020
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis
Keywords Paper
attention, gan, inversion, multistep-attention, sparsity, image-generation, inverse-problems, information-flow, imagenet
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1:00
14/06/2020
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
Maximilian Jaritz, Tuan-Hung Vu, Raoul de Charette and
Keywords Paper
unsupervised domain adaptation, semantic segmentation, 3d computer vision, cross-modal learning, autonomous vehicles, scene understanding, multi-modal
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1:01
