234 citations · 491 across the 17 of their papers we have counts for
18 papers
Octrees as an Explicit 3D Language
Ran Dan, Si-Tong Wei, Pengfei Xiong +3
Existing 3D large language models (LLMs) compromise on two fronts: they compress shapes into latent codebook indices or coordinate text, which removes spatial structure from what t…
Center Contrastive Loss for Metric Learning
Bolun Cai, Pengfei Xiong, Shangxuan Tian
Contrastive learning is a major studied topic in metric learning. However, sampling effective contrastive pairs remains a challenge due to factors such as limited batch size, imbal…
Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching
Junpeng Jing, Jiankun Li, Pengfei Xiong +7
Correlation based stereo matching has achieved outstanding performance, which pursues cost volume between two feature maps. Unfortunately, current methods with a fixed model do not…
Both Spatial and Frequency Cues Contribute to High-Fidelity Image Inpainting
Ze Lu, Yalei Lv, Wenqi Wang +1
Deep generative approaches have obtained great success in image inpainting recently. However, most generative inpainting networks suffer from either over-smooth results or aliasing…
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
Peng Jin, Jinfa Huang, Pengfei Xiong +5
Contrastive learning-based video-language representation learning approaches, e.g., CLIP, have achieved outstanding performance, which pursue semantic interaction upon pre-defined…
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization
Chengpeng Chen, Zichao Guo, Haien Zeng +2
Feature reuse has been a key technique in light-weight convolutional neural networks (CNNs) architecture design. Current methods usually utilize a concatenation operator to keep la…
TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval
Yuqi Liu, Pengfei Xiong, Luhui Xu +2
Text-Video retrieval is a task of great practical value and has received increasing attention, among which learning spatial-temporal video representation is one of the research hot…
Aesthetic Text Logo Synthesis via Content-aware Layout Inferring
Yizhi Wang, Guo Pu, Wenhan Luo +4
Text logo design heavily relies on the creativity and expertise of professional designers, in which arranging element layouts is one of the most important procedures. However, few…
DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow
Zihua Zheng, Ni Nie, Zhi Ling +4
Recently, the dense correlation volume method achieves state-of-the-art performance in optical flow. However, the correlation volume computation requires a lot of memory, which mak…
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
Jiankun Li, Peisen Wang, Pengfei Xiong +6
With the advent of convolutional neural networks, stereo matching algorithms have recently gained tremendous progress. However, it remains a great challenge to accurately extract d…
CLIP2Video: Mastering Video-Text Retrieval via Image CLIP
Han Fang, Pengfei Xiong, Luhui Xu +1
We present CLIP2Video network to transfer the image-language pre-training model to video-text retrieval in an end-to-end manner. Leading approaches in the domain of video-and-langu…
Practical Wide-Angle Portraits Correction with Deep Structured Models
Jing Tan, Shan Zhao, Pengfei Xiong +3
Wide-angle portraits often enjoy expanded views. However, they contain perspective distortions, especially noticeable when capturing group portrait photos, where the background is…
Local Context Attention for Salient Object Segmentation
Jing Tan, Pengfei Xiong, Yuwen He +2
Salient object segmentation aims at distinguishing various salient objects from backgrounds. Despite the lack of semantic consistency, salient objects often have obvious texture an…
TP-LSD: Tri-Points Based Line Segment Detector
Siyu Huang, Fangbo Qin, Pengfei Xiong +3
This paper proposes a novel deep convolutional model, Tri-Points Based Line Segment Detector (TP-LSD), to detect line segments in an image at real-time speed. The previous related…
Affinity-aware Compression and Expansion Network for Human Parsing
Xinyan Zhang, Yunfeng Wang, Pengfei Xiong
As a fine-grained segmentation task, human parsing is still faced with two challenges: inter-part indistinction and intra-part inconsistency, due to the ambiguous definitions and c…
Deep Fusion Network for Image Completion
Xin Hong, Pengfei Xiong, Renhe Ji +1
Deep image completion usually fails to harmonically blend the restored image into existing content, especially in the boundary area. This paper handles with this problem from a new…
DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
Hanchao Li, Pengfei Xiong, Haoqiang Fan +1
This paper introduces an extremely efficient CNN architecture named DFANet for semantic segmentation under resource constraints. Our proposed network starts from a single lightweig…
Pyramid Attention Network for Semantic Segmentation
Hanchao Li, Pengfei Xiong, Jie An +1
A Pyramid Attention Network(PAN) is proposed to exploit the impact of global contextual information in semantic segmentation. Different from most existing works, we combine attenti…