1 citations · 1 across the 9 of their papers we have counts for
10 papers
Learning Compact Video Representations for Efficient Long-form Video Understanding in Large Multimodal Models
Yuxiao Chen, Jue Wang, Zhikang Zhang +8
With recent advancements in video backbone architectures, combined with the remarkable achievements of large language models (LLMs), the analysis of long-form videos spanning tens…
NowYouSee Me: Context-Aware Automatic Audio Description
Seon-Ho Lee, Jue Wang, David Fan +5
Audio Description (AD) plays a pivotal role as an application system aimed at guaranteeing accessibility in multimedia content, which provides additional narrations at suitable int…
GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning
Yicheng Wang, Zhikang Zhang, Jue Wang +6
In various video-language learning tasks, the challenge of achieving cross-modality alignment with multi-grained data persists. We propose a method to tackle this challenge from tw…
Video Token Merging for Long-form Video Understanding
Seon-Ho Lee, Jue Wang, Zhikang Zhang +2
As the scale of data and models for video understanding rapidly expand, handling long-form video input in transformer-based models presents a practical challenge. Rather than resor…
Text-Guided Video Masked Autoencoder
David Fan, Jue Wang, Shuai Liao +3
Recent video masked autoencoder (MAE) works have designed improved masking algorithms focused on saliency. These works leverage visual cues such as motion to mask the most salient…
TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation
Zifan Yu, Meida Chen, Zhikang Zhang +4
Common image-based LiDAR point cloud semantic segmentation (LiDAR PCSS) approaches have bottlenecks resulting from the boundary-blurring problem of convolution neural networks (CNN…
Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learning
Zhikang Zhang, Zifan Yu, Suya You +3
Motivated by the increasing application of low-resolution LiDAR recently, we target the problem of low-resolution LiDAR-camera calibration in this work. The main challenges are two…
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach
Zhikang Zhang, Bruno Machado Trindade, Michael Green +3
Due to the complicated nanoscale structures of current integrated circuits(IC) builds and low error tolerance of IC image segmentation tasks, most existing automated IC image segme…
OpenICS: Open Image Compressive Sensing Toolbox and Benchmark
Jonathan Zhao, Matthew Westerham, Mark Lakatos-Toth +3
We present OpenICS, an image compressive sensing toolbox that includes multiple image compressive sensing and reconstruction algorithms proposed in the past decade. Due to the lack…
LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction
Kai Xu, Zhikang Zhang, Fengbo Ren
This paper addresses the single-image compressive sensing (CS) and reconstruction problem. We propose a scalable Laplacian pyramid reconstructive adversarial network (LAPRAN) that…