supported in part by the National Natural Science Foundation of China under Grant No.62176061;the Science and Technology Commission of Shanghai Municipality under Grant No.22511105000.
As a Turing test in multimedia,visual question answering(VQA)aims to answer the textual question with a given image.Recently,the“dynamic”property of neural networks has been explored as one of the most promising way...
supported in part by the National Natural Science Foundation of China under Grant No.61075026;the National Basic Research 973 Program of China under Grant No.2011CB302203.
In this paper we present a simultaneous segmentation algorithm for multiple highly-occluded objects, which combines high-level knowledge and low-level information in a unified framework. The high-level knowledge provi...
In this research, we introduce a new heuristic approach using the concept of ant colony optimization (ACO) to extract patterns from the chromosomes generated by previous generations for solving the generalized trave...
This paper proposes a low-complexity spatial-domain error concealment (EC) algorithm for recovering consecutive blocks error in still images or intra-coded (I) frames of video sequences. The proposed algorithm wor...
This work is supported by the National Natural Science Foundation of China (Grant Nos. 60473126 and 90407005), National Natural Science Foundation of China and Hong Kong RGC Joint Project (Grant No. 60218004) and the Hi-Tech Research & Development 863 Program of China (Grant Nos. 2004AA1Z1050 and 2002AA1Z1460).
With the recent advent of deep submicron technology and new packing schemes, the components in the integrated circuit are often not rectangular. On the basis of the representation of Corner Block List (CBL), we prop...