247 citations · 760 across the 17 of their papers we have counts for
7 papers · 1 filter
Stitched ViTs are Flexible Vision Backbones
Zizheng Pan, Jing Liu, Haoyu He +2
Large pretrained plain vision Transformers (ViTs) have been the workhorse for many downstream tasks. However, existing works utilizing off-the-shelf ViTs are inefficient in terms o…
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
Haoyu He, Jianfei Cai, Jing Zhang +2
Visual Parameter-Efficient Fine-Tuning (PEFT) has become a powerful alternative for full fine-tuning so as to adapt pre-trained vision models to downstream tasks, which only tunes…
EcoFormer: Energy-Saving Attention with Linear Complexity
Jing Liu, Zizheng Pan, Haoyu He +2
Transformer is a transformative framework that models sequential data and has achieved remarkable performance on a wide range of tasks, but with high computational and energy cost.…
Dynamic Focus-aware Positional Queries for Semantic Segmentation
Haoyu He, Jianfei Cai, Zizheng Pan +4
The DETR-like segmentors have underpinned the most recent breakthroughs in semantic segmentation, which end-to-end train a set of queries representing the class prototypes or targe…
Pruning Self-attentions into Convolutional Layers in Single Path
Haoyu He, Jianfei Cai, Jing Liu +4
Vision Transformers (ViTs) have achieved impressive performance over various computer vision tasks. However, modeling global correlations with multi-head self-attention (MSA) layer…
Progressive One-shot Human Parsing
Haoyu He, Jing Zhang, Bhavani Thuraisingham +1
Prior human parsing models are limited to parsing humans into classes pre-defined in the training data, which is not flexible to generalize to unseen classes, e.g., new clothing in…
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
Haoyu He, Jing Zhang, Qiming Zhang +1
Human parsing, or human body part semantic segmentation, has been an active research topic due to its wide potential applications. In this paper, we propose a novel GRAph PYramid M…