When we are faced with challenging image classification tasks, we often explain our
reasoning by dissecting the image, and pointing out prototypical aspects of one class or …

As datasets grow increasingly large in content-based image and video retrieval,
computational efficiency of concept classification is important. This paper reviews …

In recent years, considerable progress on the task of text-video retrieval has been achieved
by leveraging large-scale pretraining on visual and audio datasets to construct powerful …

Benchmark datasets are critical for develo**, evaluating, and comparing remote sensing
image retrieval (RSIR) approaches. However, current benchmark datasets are deficient in …

We present the first provably sublinear time hashing algorithm for approximate\emph
{Maximum Inner Product Search}(MIPS). Searching with (un-normalized) inner product as …

Hashing-based approximate nearest neighbor (ANN) search in huge databases has
become popular due to its computational and memory efficiency. The popular hashing …

With increasing number of documents in digital format, automatic text categorization has
become a crucial task in pattern recognition problems. To ease the classification task …

Image category recognition is important to access visual information on the level of objects
and scene types. So far, intensity-based descriptors have been widely used for feature …

This paper presents a novel and real-time system for interaction with an application or video
game via hand gestures. Our system includes detecting and tracking bare hand in cluttered …

Reranking has been a focal technique in multimedia retrieval due to its efficacy in improving
initial retrieval results. Current reranking methods, however, mainly rely on the heuristic …