110 citations · 584 across the 45 of their papers we have counts for
11 papers · 1 filter
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation
Ziqin Zhou, Bowen Zhang, Yinjie Lei +2
Recently, CLIP has been applied to pixel-level zero-shot learning tasks via a two-stage scheme. The general idea is to first generate class-agnostic region proposals and then feed…
Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention
Yifan Liu, Youbao Tang, Ning Zhang +2
Temporal action localization (TAL) aims to detect the boundary and identify the class of each action instance in a long untrimmed video. Current approaches treat video frames homog…
SegViT: Semantic Segmentation with Plain Vision Transformers
Bowen Zhang, Zhi Tian, Quan Tang +4
We explore the capability of plain Vision Transformers (ViTs) for semantic segmentation and propose the SegVit. Previous ViT-based segmentation networks usually learn a pixel-level…
Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Image
Wei Yin, Jianming Zhang, Oliver Wang +4
Despite significant progress made in the past few years, challenges remain for depth estimation using a single monocular image. First, it is nontrivial to train a metric-depth pred…
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation
Jianlong Yuan, Qian Qi, Fei Du +3
In this work, we explore data augmentations for knowledge distillation on semantic segmentation. To avoid over-fitting to the noise in the teacher network, a large number of traini…
Improving Personality Consistency in Conversation by Persona Extending
Yifan Liu, Wei Wei, Jiayi Liu +3
Endowing chatbots with a consistent personality plays a vital role for agents to deliver human-like interactions. However, existing personalized approaches commonly generate respon…
Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation
Jianlong Yuan, Jinchao Ge, Zhibin Wang +1
Consistency regularization has been widely studied in recent semisupervised semantic segmentation methods, and promising performance has been achieved. In this work, we propose a n…
Semantic-guided Multi-Mask Image Harmonization
Xuqian Ren, Yifan Liu
Previous harmonization methods focus on adjusting one inharmonious region in an image based on an input mask. They may face problems when dealing with different perturbations on di…
Controllable Shadow Generation Using Pixel Height Maps
Yichen Sheng, Yifan Liu, Jianming Zhang +6
Shadows are essential for realistic image compositing. Physics-based shadow rendering methods require 3D geometries, which are not always available. Deep learning-based shadow synt…
Efficient Video Segmentation Models with Per-frame Inference
Yifan Liu, Chunhua Shen, Changqian Yu +1
Most existing real-time deep models trained with each frame independently may produce inconsistent results across the temporal axis when tested on a video sequence. A few methods t…
Scaling up Multi-domain Semantic Segmentation with Sentence Embeddings
Wei Yin, Yifan Liu, Chunhua Shen +2
We propose an approach to semantic segmentation that achieves state-of-the-art supervised performance when applied in a zero-shot setting. It thus achieves results equivalent to th…