16 citations · 37 across the 8 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
Injecting Semantic Concepts into End-to-End Image Captioning
Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu +5
Tremendous progress has been made in recent years in developing better image captioning models, yet most of them rely on a separate object detector to extract regional features. Re…
Compressing Visual-linguistic Model via Knowledge Distillation
Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu +3
Despite exciting progress in pre-training for visual-linguistic (VL) representations, very few aspire to a small VL model. In this paper, we study knowledge distillation (KD) to ef…
HRDNet: High-resolution Detection Network for Small Objects
Ziming Liu, Guangyu Gao, Lin Sun +1
Small object detection is challenging because small objects do not contain detailed information and may even disappear in the deep network. Usually, feeding high-resolution images…
Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs
Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang +2
The process of identifying changes or transformations in a scene along with the ability of reasoning about their causes and effects, is a key aspect of intelligence. In this work w…