activity
20192026
most citedTDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion

17 citations · 33 across the 41 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023

HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction

Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos +4

Neural reconstruction and rendering strategies have demonstrated state-of-the-art performances due, in part, to their ability to preserve high level shape details. Existing approac…

cs.AI2023

Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models

Shitian Zhao, Zhuowan Li, Yadong Lu +2

While Multi-modal Language Models (MLMs) demonstrate impressive multimodal ability, they still struggle on providing factual and precise responses for tasks like visual question an…

cs.CV2023★ 2 cited

Continual Adversarial Defense

Qian Wang, Hefei Ling, Yingwei Li +3

In response to the rapidly evolving nature of adversarial attacks against visual classifiers, numerous defenses have been proposed to generalize against as many known attacks as po…

cs.CV2023

Learning Part Segmentation from Synthetic Animals

Jiawei Peng, Ju He, Prakhar Kaushik +3

Semantic part segmentation provides an intricate and interpretable understanding of an object, thereby benefiting numerous downstream tasks. However, the need for exhaustive annota…

cs.CV2023★ 2 cited

A Simple Video Segmenter by Tracking Objects Along Axial Trajectories

Ju He, Qihang Yu, Inkyu Shin +4

Video segmentation requires consistently segmenting and tracking objects over time. Due to the quadratic dependency on input size, directly applying self-attention to video segment…

cs.CV2023

Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning

Ruxiao Duan, Jieneng Chen, Adam Kortylewski +2

Replay-based methods in class-incremental learning (CIL) have attained remarkable success. Despite their effectiveness, the inherent memory restriction results in saving a limited…

cs.CV2023

3D-Aware Visual Question Answering about Parts, Poses and Occlusions

Xingrui Wang, Wufei Ma, Zhuowan Li +2

Despite rapid progress in Visual question answering (VQA), existing datasets and models mainly focus on testing reasoning in 2D. However, it is important that VQA models also under…