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Junfeng Li

7 accepted papers

2026

Multigrain-aware Semantic Prototype Scanning and Tri-Token Prompt Learning Embraced High-Order RWKV for Pan-Sharpening

CVPR 2026

In this work, we propose a Multigrain-aware Semantic Prototype Scanning paradigm for pan-sharpening, built upon a high-order RWKV architecture and a tri-token prompting mechanism derived from semantic clustering. Specifically, our method contains three key components: 1) Multigrain-aware Semantic Pr

Cited by 0SourceScholar
2026

Open-world Hand-Object Interaction Video Generation Based on Structure and Contact-aware Representation

CVPR 2026

Generating realistic hand-object interactions (HOI) videos is a significant challenge due to the difficulty of modeling physical constraints (e.g., contact and occlusion between hands and manipulated objects). Current methods utilize HOI representation as an auxiliary generative objective to guide v

Cited by 0SourceScholar
2019

A Deep Learning Based Binaural Speech Enhancement Approach with Spatial Cues Preservation

ICASSP 2019accepted

The studies of binaural hearing indicated considerable benefits of the spatial information of sound sources in speech understanding in noise. In this paper, we propose a binaural speech enhancement approach based on deep neural network. In this approach, the signals at the left and right channels ar…

Cited by 0SourceScholar
2019

A Subband Energy Modification Method for Elevation Control in Median Plane

ICASSP 2019accepted

Elevation perception is crucial for binaural reproduction. A recent study proposed an elevation control method by modifying the energy of HRTFs in each auditory scale subband, such as the ERB and Mel subband. However, this subband division is designed based on auditory excitation patterns and may no…

Cited by 1SourceScholar
2018

On SDW-MWF and Variable Span Linear Filter with Application to Speech Recognition in Noisy Environments

ICASSP 2018accepted

Neural network based spectral mask estimation for acoustic beamforming, which consists of linear filtering and mask estimation, has shown to be a promising approach for robust speech recognition in noisy environments. Nevertheless, few improvements are made on the linear filtering. In this paper, we…

Cited by 0SourceScholar
2018

Semi-Supervised Learning with Deep Neural Networks for Relative Transfer Function Inverse Regression

ICASSP 2018accepted

Prior knowledge of the relative transfer function (RTF) is useful in many applications but remains little studied. In this paper, we propose a semi-supervised learning algorithm based on deep neural networks (DNNs) for RTF inverse regression, that is to generate the full-band RTF vector directly fro…

Cited by 0SourceScholar
2017

Position control of a robot finger with variable stiffness actuated by shape memory alloy

ICRA 2017poster

The purpose of this research is to present a new method to achieve precise position tracking control for robot finger with variable stiffness mechanism. First, the variable stiffness design of the finger which is actuated by SMA-3 fibers is presented. Then, the relationship between the variation of…

Cited by 20SourceScholar