In this paper, we introduce a new approach for high-quality multi-exposure image fusion (MEF). We show that the fusion weights of an exposure can be encoded into a 1D lookup table (LUT), which takes ...
Abstract: This paper considers the basic question of how strong of a probabilistic guarantee can a hash table, storing $n(1+\Theta(1))\log n$-bit key/value pairs ...
Abstract: Neural network quantization aims at reducing bit-widths of weights and activations for memory and computational efficiency. Since a linear quantizer (i.e., round(·) function) cannot well fit ...
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