4 papers · 1 filter
Improving Network Interpretability via Explanation Consistency Evaluation
Hefeng Wu, Hao Jiang, Keze Wang +3
While deep neural networks have achieved remarkable performance, they tend to lack transparency in prediction. The pursuit of greater interpretability in neural networks often resu…
Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search
Hefeng Wu, Weifeng Chen, Zhibin Liu +3
Given a descriptive text query, text-based person search (TBPS) aims to retrieve the best-matched target person from an image gallery. Such a cross-modal retrieval task is quite ch…
SketchBodyNet: A Sketch-Driven Multi-faceted Decoder Network for 3D Human Reconstruction
Fei Wang, Kongzhang Tang, Hefeng Wu +3
Reconstructing 3D human shapes from 2D images has received increasing attention recently due to its fundamental support for many high-level 3D applications. Compared with natural i…
Multi-object Video Generation from Single Frame Layouts
Yang Wu, Zhibin Liu, Hefeng Wu +1
In this paper, we study video synthesis with emphasis on simplifying the generation conditions. Most existing video synthesis models or datasets are designed to address complex mot…