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08/21/2023
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning
Scale variation is a deep-rooted problem in object counting, which has n...
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05/12/2023
CLIP-Count: Towards Text-Guided Zero-Shot Object Counting
Recent advances in visual-language models have shown remarkable zero-sho...
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05/10/2023
Visual Tuning
Fine-tuning visual models has been widely shown promising performance on...
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10/28/2022
OhMG: Zero-shot Open-vocabulary Human Motion Generation
Generating motion in line with text has attracted increasing attention n...
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10/03/2022
Towards a Unified View on Visual Parameter-Efficient Transfer Learning
Since the release of various large-scale natural language processing (NL...
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08/22/2022
Prompt-Matched Semantic Segmentation
The objective of this work is to explore how to effectively and efficien...
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06/21/2022
Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive Learning
Video highlight detection is a crucial yet challenging problem that aims...
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06/21/2022
Pyramid Region-based Slot Attention Network for Temporal Action Proposal Generation
It has been found that temporal action proposal generation, which aims t...
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05/23/2022
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Multi-label image recognition with partial labels (MLR-PL), in which som...
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12/02/2021
Unconstrained Face Sketch Synthesis via Perception-Adaptive Network and A New Benchmark
Face sketch generation has attracted much attention in the field of visu...
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11/30/2021
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
Land remote sensing analysis is a crucial research in earth science. In ...
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09/29/2021
Road Network Guided Fine-Grained Urban Traffic Flow Inference
Accurate inference of fine-grained traffic flow from coarse-grained one ...
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08/28/2021
GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer
Group activity recognition is a crucial yet challenging problem, whose c...
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07/02/2021
Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation
Metro origin-destination prediction is a crucial yet challenging task fo...
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05/30/2021
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning
Automatic math problem solving has recently attracted increasing attenti...
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12/08/2020
Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
Crowd counting is a fundamental yet challenging problem, which desires r...
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03/23/2020
Efficient Crowd Counting via Structured Knowledge Transfer
Crowd counting is an application-oriented task and its inference efficie...
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01/14/2020
Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction
Due to the widespread applications in real-world scenarios, metro riders...
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09/02/2019
ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction
As a crucial component in intelligent transportation systems, crowd flow...
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08/23/2019
Crowd Counting with Deep Structured Scale Integration Network
Automatic estimation of the number of people in unconstrained crowded sc...
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08/20/2019
Investigation of wind pressures on tall building under interference effects using machine learning techniques
Interference effects of tall buildings have attracted numerous studies d...
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05/15/2019
Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction
Taxi demand prediction has recently attracted increasing research intere...
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12/10/2018
Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning
Facial landmark localization plays a critical role in face recognition a...
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09/01/2018
Attentive Crowd Flow Machines
Traffic flow prediction is crucial for urban traffic management and publ...
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07/02/2018
Crowd Counting using Deep Recurrent Spatial-Aware Network
Crowd counting from unconstrained scene images is a crucial task in many...
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11/13/2015
DISC: Deep Image Saliency Computing via Progressive Representation Learning
Salient object detection increasingly receives attention as an important...
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02/14/2011