activity
20192026
most citedHRDNet: High-resolution Detection Network for Small Objects

16 citations · 37 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CV2026

HIVE-3D: Hierarchical Voxel Enhancement for High-Quality 3D Scene Generation

Bin Zang, Wenting Zheng, Xiaoliang Luo +8

Recently, a line of works can generate impressive 3D objects from a single image, but they are limited by restricted representation resolution, making them unsuitable for 3D scene…

cs.CV2026

FSVideo: Fast Speed Video Diffusion Model in a Highly-Compressed Latent Space

FSVideo Team, Qingyu Chen, Zhiyuan Fang +17

We introduce FSVideo, a fast speed transformer-based image-to-video (I2V) diffusion framework. We build our framework on the following key components: 1.) a new video autoencoder w…

cs.LG2024

Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation

Yingshan Chang, Yasi Zhang, Zhiyuan Fang +3

The literature on text-to-image generation is plagued by issues of faithfully composing entities with relations. But there lacks a formal understanding of how entity-relation compo…

cs.CL2023

End-to-end Knowledge Retrieval with Multi-modal Queries

Man Luo, Zhiyuan Fang, Tejas Gokhale +2

We investigate knowledge retrieval with multi-modal queries, i.e. queries containing information split across image and text inputs, a challenging task that differs from previous w…

cs.CV2022★ 12 cited

Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation

Zekang Zhang, Guangyu Gao, Zhiyuan Fang +2

Incremental or continual learning has been extensively studied for image classification tasks to alleviate catastrophic forgetting, a phenomenon that earlier learned knowledge is f…

cs.CV2022

Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos

Arnav Chakravarthy, Zhiyuan Fang, Yezhou Yang

In videos that contain actions performed unintentionally, agents do not achieve their desired goals. In such videos, it is challenging for computer vision systems to understand hig…