no code implementations • 10 May 2024 • Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Next, we propose a dual-stream structure consisting of a Geometric Encoder branch and a Spatial Encoder branch, which jointly encode local geometry details and spatial information to fully explore multimodal information for mesh denoising.
1 code implementation • 8 Mar 2024 • Guoqing Zhang, Wenbo Zhao, Jian Liu, Xianming Liu
Our method outperforms previous approaches in preserving the structural features of the sampled point clouds.
no code implementations • 13 Oct 2023 • Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng
Based on the intuition that a model would lean to be more biased if it learns from a biased example, we measure the bias level of a query instance by observing its influence on another instance.
no code implementations • 20 Jun 2023 • Sidi Lu, Wenbo Zhao, Chenyang Tao, Arpit Gupta, Shanchan Wu, Tagyoung Chung, Nanyun Peng
NeurAlly-Decomposed Oracle (NADO) is a powerful approach for controllable generation with large language models.
1 code implementation • 30 May 2023 • Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar Sigurdsson, Chenyang Tao, Wenbo Zhao, YiWen Chen, Tagyoung Chung, Jing Huang, Nanyun Peng
Automatic melody-to-lyric generation is a task in which song lyrics are generated to go with a given melody.
1 code implementation • 22 May 2023 • Hong Liu, Zhaobiao Lv, Zhijian Ou, Wenbo Zhao, Qing Xiao
Energy-based language models (ELMs) parameterize an unnormalized distribution for natural sentences and are radically different from popular autoregressive language models (ALMs).
no code implementations • 12 May 2023 • Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar Sigurdsson, Chenyang Tao, Wenbo Zhao, Tagyoung Chung, Jing Huang, Nanyun Peng
At inference time, we leverage the crucial alignments between melody and lyrics and compile the given melody into constraints to guide the generation process.
1 code implementation • CVPR 2022 • Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji
Most existing methods either take the end-to-end supervised learning based manner, where large amounts of pairs of sparse input and dense ground-truth are exploited as supervision information; or treat up-scaling of different scale factors as independent tasks, and have to build multiple networks to handle upsampling with varying factors.
no code implementations • 2 Mar 2021 • Fangxin Liu, Wenbo Zhao, Yilong Zhao, Zongwu Wang, Tao Yang, Zhezhi He, Naifeng Jing, Xiaoyao Liang, Li Jiang
However, it is challenging for crossbar architecture to exploit the sparsity in the DNN.
1 code implementation • ICCV 2021 • Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang
Model quantization has emerged as a mandatory technique for efficient inference with advanced Deep Neural Networks (DNN).
no code implementations • NAACL 2019 • Wenbo Zhao, Tagyoung Chung, Anuj Goyal, Angeliki Metallinou
Using this framework as a starting point, we focus on two aspects: improving subgraph selection through a novel ranking method and leveraging the subject--relation dependency by proposing a joint scoring CNN model with a novel loss function that enforces the well-order of scores.
no code implementations • 18 Mar 2019 • Wenbo Zhao, Yang Gao, Shahan Ali Memon, Bhiksha Raj, Rita Singh
Addressing these problems, we propose a binary tree-structured hierarchical routing mixture of experts (HRME) model that has classifiers as non-leaf node experts and simple regression models as leaf node experts.
no code implementations • 1 Oct 2018 • Shahan Ali Memon, Wenbo Zhao, Bhiksha Raj, Rita Singh
Regression-via-Classification (RvC) is the process of converting a regression problem to a classification one.
no code implementations • 27 Sep 2018 • Wenbo Zhao, Shahan Ali Memon, Bhiksha Raj, Rita Singh
Regression-via-Classification (RvC) is the process of converting a regression problem to a classification one.
no code implementations • 1 Dec 2017 • Wenbo Zhao, Yang Gao, Rita Singh
The goal of this paper is to demonstrate that breath sounds are indeed bio-signatures that can be used to identify speakers.