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Titlebook: Computer Vision – ECCV 2018; 15th European Confer Vittorio Ferrari,Martial Hebert,Yair Weiss Conference proceedings 2018 Springer Nature Sw

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51#
發(fā)表于 2025-3-30 11:48:18 | 只看該作者
52#
發(fā)表于 2025-3-30 15:39:30 | 只看該作者
Super-Identity Convolutional Neural Network for Face Hallucinationy information. However, previous face hallucination approaches largely ignore facial identity recovery. This paper proposes Super-Identity Convolutional Neural Network (SICNN) to recover identity information for generating faces closed to the real identity. Specifically, we define a super-identity l
53#
發(fā)表于 2025-3-30 17:00:10 | 只看該作者
What Do I Annotate Next? An Empirical Study of Active Learning for Action Localizationdata is scarce. In this paper, we introduce a novel active learning framework for temporal localization that aims to mitigate this data dependency issue. We equip our framework with active selection functions that can . from previously annotated datasets. We study the performance of two state-of-the
54#
發(fā)表于 2025-3-30 21:40:14 | 只看該作者
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3essions, poses, and illuminations conditioned by synthetic images sampled from a 3D morphable model. Previous adversarial style-transfer methods either supervise their networks with a large volume of paired data or train highly under-constrained two-way generative networks in an unsupervised fashion
55#
發(fā)表于 2025-3-31 01:37:05 | 只看該作者
56#
發(fā)表于 2025-3-31 08:27:03 | 只看該作者
Neural Network Encapsulation which resemble lower counterparts in the higher layer should be activated. However, the computational complexity becomes a bottleneck for scaling up to larger networks, as lower capsules need to correspond to each and every higher capsule. To resolve this limitation, we approximate the routing proc
57#
發(fā)表于 2025-3-31 11:38:47 | 只看該作者
58#
發(fā)表于 2025-3-31 15:00:23 | 只看該作者
Integrating Egocentric Videos in Top-View Surveillance Videos: Joint Identification and Temporal Aliy with videos captured by top-view surveillance cameras. In this paper, we aim to relate these two sources of information from a surveillance standpoint, namely in terms of identification and temporal alignment. Given an egocentric video and a top-view video, our goals are to: (a) identify the egoce
59#
發(fā)表于 2025-3-31 21:07:53 | 只看該作者
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