Search Results for author:
Found 8 papers, 4 papers with code
RoI Tanh-polar Transformer Network for Face Parsing in the Wild
Face parsing aims to predict pixel-wise labels for facial components of a target face in an image.
Ranked #1 on
Face Parsing
on iBugMask
FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild
To evaluate our method on in-the-wild data, we also introduce a new challenging large-scale benchmark called IMDB-Clean.
Ranked #1 on
Age Estimation
on KANFace
MobiFace: A Novel Dataset for Mobile Face Tracking in the Wild
36 state-of-the-art trackers, including facial landmark trackers, generic object trackers and trackers that we have fine-tuned or improved, are evaluated.
Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation
Introducing LI mechanisms improves the convolutional filter's sensitivity to semantic object boundaries.
Deep Polarization Imaging for 3D shape and SVBRDF Acquisition
We present a novel method for efficient acquisition of shape and spatially varying reflectance of 3D objects using polarization cues.
Self-supervised Video-centralised Transformer for Video Face Clustering
We also investigate face clustering in egocentric videos, a fast-emerging field that has not been studied yet in works related to face clustering.
Ranked #1 on
Face Clustering
on EasyCom
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection
Our model consists of a hybrid network of convolution and transformer blocks to learn per-AU features and to model AU co-occurrences.
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network
The current state-of-the-art methods first refine the representation of phrase by aggregating the most similar $k$ image pixels, and then match the refined text representations with the pixels of the image feature map to generate segmentation results.
