5 citations · 13 across the 24 of their papers we have counts for
8 papers · 1 filter
Exploring Camera Encoder Designs for Autonomous Driving Perception
Barath Lakshmanan, Joshua Chen, Shiyi Lan +3
The cornerstone of autonomous vehicles (AV) is a solid perception system, where camera encoders play a crucial role. Existing works usually leverage pre-trained Convolutional Neura…
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint
Xinglong Sun, Barath Lakshmanan, Maying Shen +3
As we push the boundaries of performance in various vision tasks, the models grow in size correspondingly. To keep up with this growth, we need very aggressive pruning techniques f…
Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation
Zhenxin Li, Kailin Li, Shihao Wang +9
We propose Hydra-MDP, a novel paradigm employing multiple teachers in a teacher-student model. This approach uses knowledge distillation from both human and rule-based teachers to…
Memorize What Matters: Emergent Scene Decomposition from Multitraverse
Yiming Li, Zehong Wang, Yue Wang +5
Humans naturally retain memories of permanent elements, while ephemeral moments often slip through the cracks of memory. This selective retention is crucial for robotic perception,…
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning
Shihao Wang, Zhiding Yu, Xiaohui Jiang +6
The advances in vision-language models (VLMs) have led to a growing interest in autonomous driving to leverage their strong reasoning capabilities. However, extending these capabil…
What is Point Supervision Worth in Video Instance Segmentation?
Shuaiyi Huang, De-An Huang, Zhiding Yu +5
Video instance segmentation (VIS) is a challenging vision task that aims to detect, segment, and track objects in videos. Conventional VIS methods rely on densely-annotated object…
Improving Distant 3D Object Detection Using 2D Box Supervision
Zetong Yang, Zhiding Yu, Chris Choy +3
Improving the detection of distant 3d objects is an important yet challenging task. For camera-based 3D perception, the annotation of 3d bounding relies heavily on LiDAR for accura…
Fully Attentional Networks with Self-emerging Token Labeling
Bingyin Zhao, Zhiding Yu, Shiyi Lan +4
Recent studies indicate that Vision Transformers (ViTs) are robust against out-of-distribution scenarios. In particular, the Fully Attentional Network (FAN) - a family of ViT backb…