77 citations · 215 across the 13 of their papers we have counts for
15 papers
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning
Tao Han, Lei Bai, Lingbo Liu +1
Scale variation is a deep-rooted problem in object counting, which has not been effectively addressed by existing scale-aware algorithms. An important factor is that they typically…
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning
Xiaocheng Lu, Ziming Liu, Song Guo +4
Compositional Zero-shot Learning (CZSL) aims to recognize novel concepts composed of known knowledge without training samples. Standard CZSL either identifies visual primitives or…
FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
Kang Chen, Tao Han, Junchao Gong +11
We present FengWu, an advanced data-driven global medium-range weather forecast system based on Artificial Intelligence (AI). Different from existing data-driven weather forecast m…
Towards a Muon Collider
Carlotta Accettura, Dean Adams, Rohit Agarwal +294
A muon collider would enable the big jump ahead in energy reach that is needed for a fruitful exploration of fundamental interactions. The challenges of producing muon collisions a…
LogStamp: Automatic Online Log Parsing Based on Sequence Labelling
Shimin Tao, Weibin Meng, Yimeng Chen +6
Logs are one of the most critical data for service management. It contains rich runtime information for both services and users. Since size of logs are often enormous in size and h…
DR.VIC: Decomposition and Reasoning for Video Individual Counting
Tao Han, Lei Bai, Junyu Gao +2
Pedestrian counting is a fundamental tool for understanding pedestrian patterns and crowd flow analysis. Existing works (e.g., image-level pedestrian counting, crossline crowd coun…
UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks
Yichen Zhu, Weibin Meng, Ying Liu +4
UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks
An Approach for Combining Multimodal Fusion and Neural Architecture Search Applied to Knowledge Tracing
Xinyi Ding, Tao Han, Yili Fang +1
Knowledge Tracing is the process of tracking mastery level of different skills of students for a given learning domain. It is one of the key components for building adaptive learni…
LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds
Qi wang, Tao Han, Junyu Gao +2
The rapid development in visual crowd analysis shows a trend to count people by positioning or even detecting, rather than simply summing a density map. It also enlightens us back…
Learning Independent Instance Maps for Crowd Localization
Junyu Gao, Tao Han, Qi Wang +2
Accurately locating each head's position in the crowd scenes is a crucial task in the field of crowd analysis. However, traditional density-based methods only predict coarse predic…
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Tao Han, Junyu Gao, Yuan Yuan +1
Unlabeled data learning has attracted considerable attention recently. However, it is still elusive to extract the expected high-level semantic feature with mere unsupervised learn…
Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting
Qi Wang, Tao Han, Junyu Gao +1
Cross-domain crowd counting (CDCC) is a hot topic due to its importance in public safety. The purpose of CDCC is to alleviate the domain shift between the source and target domain.…
Focus on Semantic Consistency for Cross-domain Crowd Understanding
Tao Han, Junyu Gao, Yuan Yuan +1
For pixel-level crowd understanding, it is time-consuming and laborious in data collection and annotation. Some domain adaptation algorithms try to liberate it by training models w…
Domain-adaptive Crowd Counting via High-quality Image Translation and Density Reconstruction
Junyu Gao, Tao Han, Qi Wang +1
Recently, crowd counting using supervised learning achieves a remarkable improvement. Nevertheless, most counters rely on a large amount of manually labeled data. With the release…
A Large Hadron Electron Collider at CERN
J. L. Abelleira Fernandez, C. Adolphsen, P. Adzic +206
This document provides a brief overview of the recently published report on the design of the Large Hadron Electron Collider (LHeC), which comprises its physics programme, accelera…