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09/19/2023
OccluTrack: Rethinking Awareness of Occlusion for Enhancing Multiple Pedestrian Tracking
Multiple pedestrian tracking faces the challenge of tracking pedestrians...
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06/13/2023
Top-Down Viewing for Weakly Supervised Grounded Image Captioning
Weakly supervised grounded image captioning (WSGIC) aims to generate the...
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04/22/2023
SSN: Stockwell Scattering Network for SAR Image Change Detection
Recently, synthetic aperture radar (SAR) image change detection has beco...
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04/14/2023
A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings
File fragment classification (FFC) on small chunks of memory is essentia...
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04/14/2023
Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration
In this paper, we study a real-world JPEG image restoration problem with...
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03/23/2023
TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision
In this paper, we investigate an open research task of generating contro...
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07/23/2021
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds
Semantic segmentation on 3D point clouds is an important task for 3D sce...
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06/01/2021
Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification
Recent image classification algorithms, by learning deep features from l...
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06/25/2020
Empirical Analysis of Overfitting and Mode Drop in GAN Training
We examine two key questions in GAN training, namely overfitting and mod...
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03/29/2020
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds
Point clouds provide intrinsic geometric information and surface context...
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12/19/2019
AANet: Attribute Attention Network for Person Re-Identifications
This paper proposes Attribute Attention Network (AANet), a new architect...
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11/14/2019
Semantic Granularity Metric Learning for Visual Search
Deep metric learning applied to various applications has shown promising...
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02/09/2019
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
We propose a GAN design which models multiple distributions effectively ...
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12/31/2018
Interest Point Detection based on Adaptive Ternary Coding
In this paper, an adaptive pixel ternary coding mechanism is proposed an...
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12/31/2018
DCI: Discriminative and Contrast Invertible Descriptor
Local feature descriptors have been widely used in fine-grained visual o...
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06/12/2018
The Unusual Effectiveness of Averaging in GAN Training
We show empirically that the optimal strategy of parameter averaging in ...
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04/28/2018
