16 citations · 28 across the 5 of their papers we have counts for
5 papers
A Very Big Video Reasoning Suite
Maijunxian Wang, Ruisi Wang, Juyi Lin +53
Rapid progress in video models has largely focused on visual quality, leaving their reasoning capabilities underexplored. Video reasoning grounds intelligence in spatiotemporally c…
EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models
Jiangsu Du, Ziming Liu, Jiarui Fang +4
Large transformer models display promising performance on a wide range of natural language processing (NLP) tasks. Although the AI community has expanded the model scale to the tri…
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition
Ziming Liu, Guangyu Gao, A. K. Qin +1
State-of-the-art video action recognition models with complex network architecture have archived significant improvements, but these models heavily depend on large-scale well-label…
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…
IPG-Net: Image Pyramid Guidance Network for Small Object Detection
Ziming Liu, Guangyu Gao, Lin Sun +1
For Convolutional Neural Network-based object detection, there is a typical dilemma: the spatial information is well kept in the shallow layers which unfortunately do not have enou…