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Patch-wise++ Perturbation for Adversarial Targeted Attacks
Although great progress has been made on adversarial attacks for deep ne...
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Patch-wise Attack for Fooling Deep Neural Network
By adding human-imperceptible noise to clean images, the resultant adver...
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Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation
Despite the huge progress in scene graph generation in recent years, its...
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Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
In this paper, we consider a novel task, Spatio-Temporal Video Grounding...
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A Foreground-background Parallel Compression with Residual Encoding for Surveillance Video
The data storage has been one of the bottlenecks in surveillance systems...
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One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network
With the recent explosive increase of digital data, image recognition an...
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Deep Recurrent Quantization for Generating Sequential Binary Codes
Quantization has been an effective technology in ANN (approximate neares...
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Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval
Product Quantization (PQ) has long been a mainstream for generating an e...
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Hierarchical LSTMs with Adaptive Attention for Visual Captioning
Recent progress has been made in using attention based encoder-decoder f...
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Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks
The task in referring expression comprehension is to localise the object...
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Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder
Existing video hash functions are built on three isolated stages: frame ...
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From Deterministic to Generative: Multi-Modal Stochastic RNNs for Video Captioning
Video captioning in essential is a complex natural process, which is aff...
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Learning in High-Dimensional Multimedia Data: The State of the Art
During the last decade, the deluge of multimedia data has impacted a wid...
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Deep Discrete Hashing with Self-supervised Pairwise Labels
Hashing methods have been widely used for applications of large-scale im...
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Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning
Recent progress has been made in using attention based encoder-decoder f...
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Deep Region Hashing for Efficient Large-scale Instance Search from Images
Instance Search (INS) is a fundamental problem for many applications, wh...
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Estimating Fire Weather Indices via Semantic Reasoning over Wireless Sensor Network Data Streams
Wildfires are frequent, devastating events in Australia that regularly c...
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